Chaos, CNN, memristors and beyond :: a Festschrift for Leon Chua /
This invaluable book is a unique collection of tributes to outstanding discoveries pioneered by Leon Chua in nonlinear circuits, cellular neural networks, and chaos. It is comprised of three parts. The first - cellular nonlinear networks, nonlinear circuits and cellular automata - deals with Chua�...
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| Weitere Verfasser: | , , |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Singapore :
World Scientific Pub. Co.,
2013.
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | This invaluable book is a unique collection of tributes to outstanding discoveries pioneered by Leon Chua in nonlinear circuits, cellular neural networks, and chaos. It is comprised of three parts. The first - cellular nonlinear networks, nonlinear circuits and cellular automata - deals with Chua's Lagrangian circuits, cellular wave computers, bio-inspired robotics and neuro-morphic architectures, toroidal chaos, synaptic cellular automata, history of Chua's circuits, cardiac arrhythmias, local activity principle, symmetry breaking and complexity, bifurcation trees, and Chua's views on nonline. |
| Beschreibung: | Acknowledgement. |
| Beschreibung: | 1 online resource (xii, 549 pages) : illustrations |
| Bibliographie: | Includes bibliographical references. |
| ISBN: | 9789814434805 9814434809 9814434795 9789814434799 9781299281318 1299281311 |
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| 245 | 0 | 0 | |a Chaos, CNN, memristors and beyond : |b a Festschrift for Leon Chua / |c editors, Andrew Adamatzky, Guanrong Chen. |
| 260 | |a Singapore : |b World Scientific Pub. Co., |c 2013. | ||
| 300 | |a 1 online resource (xii, 549 pages) : |b illustrations | ||
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| 505 | 0 | |a Preface; CONTENTS; Part I. Cellular Nonlinear Networks, Nonlinear Circuits and Cellular Automata; 1. Genealogy of Chua's Circuit Peter Kennedy; 1. Introduction; 2. History; 3. Five-element Chua's Circuit; 3.1. Discrete circuit realization; 3.2. Piecewise-linear Chua diode; 3.2.1. Op amp-based negative impedance converters; 3.2.2. Current-mode negative impedance converters; 3.2.3. Transistor-based negative impedance converter and diodes; 3.3. Cubic nonlinearity; 3.4. Asymmetric nonlinearity; 3.5. Inductor; 3.5.1. Gyrator-based inductor; 3.6. Integrated circuit realization. | |
| 505 | 8 | |a 4. Four-element Chua's Circuit5. Three-element Chaotic Circuit; 6. Summary; References; 2. Impasse Points, Mutators, and Other Chua Creations Hyongsuk Kim; 1. Introduction; 2. Impasse Points; 3. Mutators; 3.1. Realization of mutators; 3.2. Experimental verification of mutators; 4. Other Chua Creations; Acknowledgment; References; 3. Chua's Lagrangian Circuit Elements Orla Feely; 1. Introduction; 2. Chua's Presentation of Lagrangian Circuit Elements; 3. Summary; References; 4. From CNN Dynamics to Cellular Wave Computers Tamas Roska; 1. Introduction. | |
| 505 | 8 | |a 2. Using Cellular Dynamics and Nonlinear Dynamical Circuits for Computation -- A Prehistory3. The Standard CNN (Cellular Neural/Nonlinear Network) as the Practically Feasible Prototype Solution and Related Stability Issues; 4. Inventing the Stored Programmable Spatial-temporal Computer: The CNN Universal Machine (CNN-UM) and the Cellular Wave Computer; 5. Making the First Silicon Visual Microprocessors and its Computational Infrastructure -- Other Physical Implementations; 6. Biological Relevance and Bio-inspiration. | |
| 505 | 8 | |a 7. Some Fundamental Theorems -- More than PDE, Equivalence to Fully-connectedness, Analytic Theory of CA, Godel Incompleteness8. Prototype Spatial-temporal CNN Algorithms and Novel Applications; 9. Physical and Virtual Cellular Machines with Kilo- and Mega-processor Chips and Related Topographic Algorithms; 10. Conclusions and Major New Challenges; Acknowledgment; References; 5. Contributions of CNN to Bio-robotics and Brain Science Paolo Arena and Luca Patane; 1. Introduction; 2. CNN-based CPGs for Locomotion Control in Bio-robots; 2.1. Basis of locomotion. | |
| 505 | 8 | |a 2.2. The CNN neuron model for CPG: a slow-fast controllable limit cycle2.3. CPG in a reaction-diffusion CNN structure; 2.4. CPG in amulti-template-CNN; 3. A Brain for the Body:A CNN-based Spatio-temporal Approach; 3.1. Control architecture; 3.1.1. Sensory block; 3.1.2. Basic behaviors; 3.1.3. Representation layer; 3.1.4. Preprocessing block; 3.1.5. Perceptual core; 3.1.6. Selection network; 3.1.7. Motivation layer and learning process; 3.2. Simulation results; 3.2.1. Learning phase; 3.2.2. Testing phase; 3.2.3. Experimental results; 4. A Note on Winnerless Competition in CNNs; 5. Conclusions. | |
| 500 | |a Acknowledgement. | ||
| 504 | |a Includes bibliographical references. | ||
| 520 | |a This invaluable book is a unique collection of tributes to outstanding discoveries pioneered by Leon Chua in nonlinear circuits, cellular neural networks, and chaos. It is comprised of three parts. The first - cellular nonlinear networks, nonlinear circuits and cellular automata - deals with Chua's Lagrangian circuits, cellular wave computers, bio-inspired robotics and neuro-morphic architectures, toroidal chaos, synaptic cellular automata, history of Chua's circuits, cardiac arrhythmias, local activity principle, symmetry breaking and complexity, bifurcation trees, and Chua's views on nonline. | ||
| 588 | 0 | |a Online resource; title from pdf information screen (Ebsco, viewed June 28, 2013). | |
| 650 | 0 | |a Neural networks (Computer science) |0 http://id.loc.gov/authorities/subjects/sh90001937 | |
| 650 | 0 | |a Memristors. |0 http://id.loc.gov/authorities/subjects/sh2011005950 | |
| 650 | 0 | |a Chaotic behavior in systems. |0 http://id.loc.gov/authorities/subjects/sh85022562 | |
| 650 | 6 | |a Réseaux neuronaux (Informatique) | |
| 650 | 6 | |a Memristances. | |
| 650 | 6 | |a Chaos. | |
| 650 | 7 | |a COMPUTERS |x Neural Networks. |2 bisacsh | |
| 650 | 7 | |a Chaotic behavior in systems |2 fast | |
| 650 | 7 | |a Memristors |2 fast | |
| 650 | 7 | |a Neural networks (Computer science) |2 fast | |
| 700 | 1 | |a Adamatzky, Andrew. |1 https://id.oclc.org/worldcat/entity/E39PBJgmK7fy9pdkxXhP7MQ6rq |0 http://id.loc.gov/authorities/names/n95020912 | |
| 700 | 1 | |a Chen, G. |q (Guanrong) |1 https://id.oclc.org/worldcat/entity/E39PBJtGTX3cC6fqJbBvTDp3wC |0 http://id.loc.gov/authorities/names/n87938130 | |
| 700 | 1 | |a Chua, Leon O., |d 1936- |1 https://id.oclc.org/worldcat/entity/E39PBJrRbHY6ykbmyVgHqWkJjC |0 http://id.loc.gov/authorities/names/n82204052 | |
| 758 | |i has work: |a Chaos, CNN, memristors and beyond (Text) |1 https://id.oclc.org/worldcat/entity/E39PCFPFQ8Tv4MpcycRt7XGg83 |4 https://id.oclc.org/worldcat/ontology/hasWork | ||
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| author2 | Adamatzky, Andrew Chen, G. (Guanrong) Chua, Leon O., 1936- |
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| contents | Preface; CONTENTS; Part I. Cellular Nonlinear Networks, Nonlinear Circuits and Cellular Automata; 1. Genealogy of Chua's Circuit Peter Kennedy; 1. Introduction; 2. History; 3. Five-element Chua's Circuit; 3.1. Discrete circuit realization; 3.2. Piecewise-linear Chua diode; 3.2.1. Op amp-based negative impedance converters; 3.2.2. Current-mode negative impedance converters; 3.2.3. Transistor-based negative impedance converter and diodes; 3.3. Cubic nonlinearity; 3.4. Asymmetric nonlinearity; 3.5. Inductor; 3.5.1. Gyrator-based inductor; 3.6. Integrated circuit realization. 4. Four-element Chua's Circuit5. Three-element Chaotic Circuit; 6. Summary; References; 2. Impasse Points, Mutators, and Other Chua Creations Hyongsuk Kim; 1. Introduction; 2. Impasse Points; 3. Mutators; 3.1. Realization of mutators; 3.2. Experimental verification of mutators; 4. Other Chua Creations; Acknowledgment; References; 3. Chua's Lagrangian Circuit Elements Orla Feely; 1. Introduction; 2. Chua's Presentation of Lagrangian Circuit Elements; 3. Summary; References; 4. From CNN Dynamics to Cellular Wave Computers Tamas Roska; 1. Introduction. 2. Using Cellular Dynamics and Nonlinear Dynamical Circuits for Computation -- A Prehistory3. The Standard CNN (Cellular Neural/Nonlinear Network) as the Practically Feasible Prototype Solution and Related Stability Issues; 4. Inventing the Stored Programmable Spatial-temporal Computer: The CNN Universal Machine (CNN-UM) and the Cellular Wave Computer; 5. Making the First Silicon Visual Microprocessors and its Computational Infrastructure -- Other Physical Implementations; 6. Biological Relevance and Bio-inspiration. 7. Some Fundamental Theorems -- More than PDE, Equivalence to Fully-connectedness, Analytic Theory of CA, Godel Incompleteness8. Prototype Spatial-temporal CNN Algorithms and Novel Applications; 9. Physical and Virtual Cellular Machines with Kilo- and Mega-processor Chips and Related Topographic Algorithms; 10. Conclusions and Major New Challenges; Acknowledgment; References; 5. Contributions of CNN to Bio-robotics and Brain Science Paolo Arena and Luca Patane; 1. Introduction; 2. CNN-based CPGs for Locomotion Control in Bio-robots; 2.1. Basis of locomotion. 2.2. The CNN neuron model for CPG: a slow-fast controllable limit cycle2.3. CPG in a reaction-diffusion CNN structure; 2.4. CPG in amulti-template-CNN; 3. A Brain for the Body:A CNN-based Spatio-temporal Approach; 3.1. Control architecture; 3.1.1. Sensory block; 3.1.2. Basic behaviors; 3.1.3. Representation layer; 3.1.4. Preprocessing block; 3.1.5. Perceptual core; 3.1.6. Selection network; 3.1.7. Motivation layer and learning process; 3.2. Simulation results; 3.2.1. Learning phase; 3.2.2. Testing phase; 3.2.3. Experimental results; 4. A Note on Winnerless Competition in CNNs; 5. Conclusions. |
| ctrlnum | (OCoLC)830162019 |
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| dewey-ones | 006 - Special computer methods |
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| discipline | Informatik |
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Co.,</subfield><subfield code="c">2013.</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 online resource (xii, 549 pages) :</subfield><subfield code="b">illustrations</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">computer</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">online resource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="505" ind1="0" ind2=" "><subfield code="a">Preface; CONTENTS; Part I. Cellular Nonlinear Networks, Nonlinear Circuits and Cellular Automata; 1. Genealogy of Chua's Circuit Peter Kennedy; 1. Introduction; 2. History; 3. Five-element Chua's Circuit; 3.1. Discrete circuit realization; 3.2. Piecewise-linear Chua diode; 3.2.1. Op amp-based negative impedance converters; 3.2.2. Current-mode negative impedance converters; 3.2.3. Transistor-based negative impedance converter and diodes; 3.3. Cubic nonlinearity; 3.4. Asymmetric nonlinearity; 3.5. Inductor; 3.5.1. Gyrator-based inductor; 3.6. Integrated circuit realization.</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">4. Four-element Chua's Circuit5. Three-element Chaotic Circuit; 6. Summary; References; 2. Impasse Points, Mutators, and Other Chua Creations Hyongsuk Kim; 1. Introduction; 2. Impasse Points; 3. Mutators; 3.1. Realization of mutators; 3.2. Experimental verification of mutators; 4. Other Chua Creations; Acknowledgment; References; 3. Chua's Lagrangian Circuit Elements Orla Feely; 1. Introduction; 2. Chua's Presentation of Lagrangian Circuit Elements; 3. Summary; References; 4. From CNN Dynamics to Cellular Wave Computers Tamas Roska; 1. Introduction.</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">2. Using Cellular Dynamics and Nonlinear Dynamical Circuits for Computation -- A Prehistory3. The Standard CNN (Cellular Neural/Nonlinear Network) as the Practically Feasible Prototype Solution and Related Stability Issues; 4. Inventing the Stored Programmable Spatial-temporal Computer: The CNN Universal Machine (CNN-UM) and the Cellular Wave Computer; 5. Making the First Silicon Visual Microprocessors and its Computational Infrastructure -- Other Physical Implementations; 6. Biological Relevance and Bio-inspiration.</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">7. Some Fundamental Theorems -- More than PDE, Equivalence to Fully-connectedness, Analytic Theory of CA, Godel Incompleteness8. Prototype Spatial-temporal CNN Algorithms and Novel Applications; 9. 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| id | ZDB-4-EBA-ocn830162019 |
| illustrated | Illustrated |
| indexdate | 2024-11-27T13:25:14Z |
| institution | BVB |
| isbn | 9789814434805 9814434809 9814434795 9789814434799 9781299281318 1299281311 |
| language | English |
| lccn | 2012285945 |
| oclc_num | 830162019 |
| open_access_boolean | |
| owner | MAIN DE-863 DE-BY-FWS |
| owner_facet | MAIN DE-863 DE-BY-FWS |
| physical | 1 online resource (xii, 549 pages) : illustrations |
| psigel | ZDB-4-EBA |
| publishDate | 2013 |
| publishDateSearch | 2013 |
| publishDateSort | 2013 |
| publisher | World Scientific Pub. Co., |
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| spelling | Chaos, CNN, memristors and beyond : a Festschrift for Leon Chua / editors, Andrew Adamatzky, Guanrong Chen. Singapore : World Scientific Pub. Co., 2013. 1 online resource (xii, 549 pages) : illustrations text txt rdacontent computer c rdamedia online resource cr rdacarrier Preface; CONTENTS; Part I. Cellular Nonlinear Networks, Nonlinear Circuits and Cellular Automata; 1. Genealogy of Chua's Circuit Peter Kennedy; 1. Introduction; 2. History; 3. Five-element Chua's Circuit; 3.1. Discrete circuit realization; 3.2. Piecewise-linear Chua diode; 3.2.1. Op amp-based negative impedance converters; 3.2.2. Current-mode negative impedance converters; 3.2.3. Transistor-based negative impedance converter and diodes; 3.3. Cubic nonlinearity; 3.4. Asymmetric nonlinearity; 3.5. Inductor; 3.5.1. Gyrator-based inductor; 3.6. Integrated circuit realization. 4. Four-element Chua's Circuit5. Three-element Chaotic Circuit; 6. Summary; References; 2. Impasse Points, Mutators, and Other Chua Creations Hyongsuk Kim; 1. Introduction; 2. Impasse Points; 3. Mutators; 3.1. Realization of mutators; 3.2. Experimental verification of mutators; 4. Other Chua Creations; Acknowledgment; References; 3. Chua's Lagrangian Circuit Elements Orla Feely; 1. Introduction; 2. Chua's Presentation of Lagrangian Circuit Elements; 3. Summary; References; 4. From CNN Dynamics to Cellular Wave Computers Tamas Roska; 1. Introduction. 2. Using Cellular Dynamics and Nonlinear Dynamical Circuits for Computation -- A Prehistory3. The Standard CNN (Cellular Neural/Nonlinear Network) as the Practically Feasible Prototype Solution and Related Stability Issues; 4. Inventing the Stored Programmable Spatial-temporal Computer: The CNN Universal Machine (CNN-UM) and the Cellular Wave Computer; 5. Making the First Silicon Visual Microprocessors and its Computational Infrastructure -- Other Physical Implementations; 6. Biological Relevance and Bio-inspiration. 7. Some Fundamental Theorems -- More than PDE, Equivalence to Fully-connectedness, Analytic Theory of CA, Godel Incompleteness8. Prototype Spatial-temporal CNN Algorithms and Novel Applications; 9. Physical and Virtual Cellular Machines with Kilo- and Mega-processor Chips and Related Topographic Algorithms; 10. Conclusions and Major New Challenges; Acknowledgment; References; 5. Contributions of CNN to Bio-robotics and Brain Science Paolo Arena and Luca Patane; 1. Introduction; 2. CNN-based CPGs for Locomotion Control in Bio-robots; 2.1. Basis of locomotion. 2.2. The CNN neuron model for CPG: a slow-fast controllable limit cycle2.3. CPG in a reaction-diffusion CNN structure; 2.4. CPG in amulti-template-CNN; 3. A Brain for the Body:A CNN-based Spatio-temporal Approach; 3.1. Control architecture; 3.1.1. Sensory block; 3.1.2. Basic behaviors; 3.1.3. Representation layer; 3.1.4. Preprocessing block; 3.1.5. Perceptual core; 3.1.6. Selection network; 3.1.7. Motivation layer and learning process; 3.2. Simulation results; 3.2.1. Learning phase; 3.2.2. Testing phase; 3.2.3. Experimental results; 4. A Note on Winnerless Competition in CNNs; 5. Conclusions. Acknowledgement. Includes bibliographical references. This invaluable book is a unique collection of tributes to outstanding discoveries pioneered by Leon Chua in nonlinear circuits, cellular neural networks, and chaos. It is comprised of three parts. The first - cellular nonlinear networks, nonlinear circuits and cellular automata - deals with Chua's Lagrangian circuits, cellular wave computers, bio-inspired robotics and neuro-morphic architectures, toroidal chaos, synaptic cellular automata, history of Chua's circuits, cardiac arrhythmias, local activity principle, symmetry breaking and complexity, bifurcation trees, and Chua's views on nonline. Online resource; title from pdf information screen (Ebsco, viewed June 28, 2013). Neural networks (Computer science) http://id.loc.gov/authorities/subjects/sh90001937 Memristors. http://id.loc.gov/authorities/subjects/sh2011005950 Chaotic behavior in systems. http://id.loc.gov/authorities/subjects/sh85022562 Réseaux neuronaux (Informatique) Memristances. Chaos. COMPUTERS Neural Networks. bisacsh Chaotic behavior in systems fast Memristors fast Neural networks (Computer science) fast Adamatzky, Andrew. https://id.oclc.org/worldcat/entity/E39PBJgmK7fy9pdkxXhP7MQ6rq http://id.loc.gov/authorities/names/n95020912 Chen, G. (Guanrong) https://id.oclc.org/worldcat/entity/E39PBJtGTX3cC6fqJbBvTDp3wC http://id.loc.gov/authorities/names/n87938130 Chua, Leon O., 1936- https://id.oclc.org/worldcat/entity/E39PBJrRbHY6ykbmyVgHqWkJjC http://id.loc.gov/authorities/names/n82204052 has work: Chaos, CNN, memristors and beyond (Text) https://id.oclc.org/worldcat/entity/E39PCFPFQ8Tv4MpcycRt7XGg83 https://id.oclc.org/worldcat/ontology/hasWork Print version: Adamatzky, Andrew. Chaos, CNN, Memristors and Beyond : A Festschrift for Leon Chua (With Dvd-Rom, Composed by Eleonora Bilotta). Singapore : World Scientific Publishing Company, ©2013 9789814434799 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=545482 Volltext |
| spellingShingle | Chaos, CNN, memristors and beyond : a Festschrift for Leon Chua / Preface; CONTENTS; Part I. Cellular Nonlinear Networks, Nonlinear Circuits and Cellular Automata; 1. Genealogy of Chua's Circuit Peter Kennedy; 1. Introduction; 2. History; 3. Five-element Chua's Circuit; 3.1. Discrete circuit realization; 3.2. Piecewise-linear Chua diode; 3.2.1. Op amp-based negative impedance converters; 3.2.2. Current-mode negative impedance converters; 3.2.3. Transistor-based negative impedance converter and diodes; 3.3. Cubic nonlinearity; 3.4. Asymmetric nonlinearity; 3.5. Inductor; 3.5.1. Gyrator-based inductor; 3.6. Integrated circuit realization. 4. Four-element Chua's Circuit5. Three-element Chaotic Circuit; 6. Summary; References; 2. Impasse Points, Mutators, and Other Chua Creations Hyongsuk Kim; 1. Introduction; 2. Impasse Points; 3. Mutators; 3.1. Realization of mutators; 3.2. Experimental verification of mutators; 4. Other Chua Creations; Acknowledgment; References; 3. Chua's Lagrangian Circuit Elements Orla Feely; 1. Introduction; 2. Chua's Presentation of Lagrangian Circuit Elements; 3. Summary; References; 4. From CNN Dynamics to Cellular Wave Computers Tamas Roska; 1. Introduction. 2. Using Cellular Dynamics and Nonlinear Dynamical Circuits for Computation -- A Prehistory3. The Standard CNN (Cellular Neural/Nonlinear Network) as the Practically Feasible Prototype Solution and Related Stability Issues; 4. Inventing the Stored Programmable Spatial-temporal Computer: The CNN Universal Machine (CNN-UM) and the Cellular Wave Computer; 5. Making the First Silicon Visual Microprocessors and its Computational Infrastructure -- Other Physical Implementations; 6. Biological Relevance and Bio-inspiration. 7. Some Fundamental Theorems -- More than PDE, Equivalence to Fully-connectedness, Analytic Theory of CA, Godel Incompleteness8. Prototype Spatial-temporal CNN Algorithms and Novel Applications; 9. Physical and Virtual Cellular Machines with Kilo- and Mega-processor Chips and Related Topographic Algorithms; 10. Conclusions and Major New Challenges; Acknowledgment; References; 5. Contributions of CNN to Bio-robotics and Brain Science Paolo Arena and Luca Patane; 1. Introduction; 2. CNN-based CPGs for Locomotion Control in Bio-robots; 2.1. Basis of locomotion. 2.2. The CNN neuron model for CPG: a slow-fast controllable limit cycle2.3. CPG in a reaction-diffusion CNN structure; 2.4. CPG in amulti-template-CNN; 3. A Brain for the Body:A CNN-based Spatio-temporal Approach; 3.1. Control architecture; 3.1.1. Sensory block; 3.1.2. Basic behaviors; 3.1.3. Representation layer; 3.1.4. Preprocessing block; 3.1.5. Perceptual core; 3.1.6. Selection network; 3.1.7. Motivation layer and learning process; 3.2. Simulation results; 3.2.1. Learning phase; 3.2.2. Testing phase; 3.2.3. Experimental results; 4. A Note on Winnerless Competition in CNNs; 5. Conclusions. Neural networks (Computer science) http://id.loc.gov/authorities/subjects/sh90001937 Memristors. http://id.loc.gov/authorities/subjects/sh2011005950 Chaotic behavior in systems. http://id.loc.gov/authorities/subjects/sh85022562 Réseaux neuronaux (Informatique) Memristances. Chaos. COMPUTERS Neural Networks. bisacsh Chaotic behavior in systems fast Memristors fast Neural networks (Computer science) fast |
| subject_GND | http://id.loc.gov/authorities/subjects/sh90001937 http://id.loc.gov/authorities/subjects/sh2011005950 http://id.loc.gov/authorities/subjects/sh85022562 |
| title | Chaos, CNN, memristors and beyond : a Festschrift for Leon Chua / |
| title_auth | Chaos, CNN, memristors and beyond : a Festschrift for Leon Chua / |
| title_exact_search | Chaos, CNN, memristors and beyond : a Festschrift for Leon Chua / |
| title_full | Chaos, CNN, memristors and beyond : a Festschrift for Leon Chua / editors, Andrew Adamatzky, Guanrong Chen. |
| title_fullStr | Chaos, CNN, memristors and beyond : a Festschrift for Leon Chua / editors, Andrew Adamatzky, Guanrong Chen. |
| title_full_unstemmed | Chaos, CNN, memristors and beyond : a Festschrift for Leon Chua / editors, Andrew Adamatzky, Guanrong Chen. |
| title_short | Chaos, CNN, memristors and beyond : |
| title_sort | chaos cnn memristors and beyond a festschrift for leon chua |
| title_sub | a Festschrift for Leon Chua / |
| topic | Neural networks (Computer science) http://id.loc.gov/authorities/subjects/sh90001937 Memristors. http://id.loc.gov/authorities/subjects/sh2011005950 Chaotic behavior in systems. http://id.loc.gov/authorities/subjects/sh85022562 Réseaux neuronaux (Informatique) Memristances. Chaos. COMPUTERS Neural Networks. bisacsh Chaotic behavior in systems fast Memristors fast Neural networks (Computer science) fast |
| topic_facet | Neural networks (Computer science) Memristors. Chaotic behavior in systems. Réseaux neuronaux (Informatique) Memristances. Chaos. COMPUTERS Neural Networks. Chaotic behavior in systems Memristors |
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