Optimization techniques /:
"Optimization Techniques" is a unique reference source to a diverse array of methods for achieving optimization, and includes both systems structures and computational methods. The text devotes broad coverage to a unified view of optimal learning, orthogonal transformation techniques, sequ...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
San Diego :
Academic Press,
1998.
|
| Schriftenreihe: | Neural network systems, techniques, and applications ;
v. 2. |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | "Optimization Techniques" is a unique reference source to a diverse array of methods for achieving optimization, and includes both systems structures and computational methods. The text devotes broad coverage to a unified view of optimal learning, orthogonal transformation techniques, sequential constructive techniques, fast back propagation algorithms, techniques for neural networks with nonstationary or dynamic outputs, applications to constraint satisfaction, optimization issues and techniques for unsupervised learning neural networks, optimum Cerebellar Model of Articulation Controller systems, a new statistical theory of optimum neural learning, and the role of the Radial Basis Function in nonlinear dynamical systems. This volume is useful for practitioners, researchers, and students in industrial, manufacturing, mechanical, electrical, and computer engineering. It provides in-depth treatment of theoretical contributions to optimal learning for neural network systems and offers a comprehensive treatment of orthogonal transformation techniques for the optimization of neural network systems.; It includes illustrative examples and comprehensive treatment of sequential constructive techniques for optimization of neural network systems and presents a uniquely comprehensive treatment of the highly effective fast back propagation algorithms for the optimization of neural network systems. It treats, in detail, optimization techniques for neural network systems with nonstationary or dynamic inputs. It covers optimization techniques and applications of neural network systems in constraint satisfaction |
| Beschreibung: | 1 online resource (xxii, 398 pages :) |
| Bibliographie: | Includes bibliographical references and indexes. |
| ISBN: | 9780080551357 0080551351 1281038377 9781281038371 |
Internformat
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| 588 | 0 | |a Print version record. | |
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| contents | Optimal learning in artificial neural networks : a theoretical view / Monica Bianchini [and others] -- Orthogonal transformation techniques in the optimization of feedforward neural network systems / Partha Pratim Kanjilal -- Sequential constructive techniques / Marco Muselli -- Fast backpropagation training using optimal learning rate and momentum / Xiao-Hu Yu, Li-Qun Xu, and Yong Wang -- Learning of nonstationary processes / V. Ruiz de Angulo and Carme Torras -- Constraint satisfaction problems / Hans Nikolaus Schaller -- Dominant neuron techniques / Jar-Ferr Yang and Chi-Ming Chen --CMAC-based techniques for adaptive learning control / Chun-Shin Lin, Ching-Tsan Chiang, and Hyongsuk Kim -- Information dynamics and neural techniques for data analysis / Gustavo Deco -- Radial basis function network approximation and learning in task-dependent feedforward control of nonlinear dynamical systems / Dimitry Gorinevsky. |
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| illustrated | Illustrated |
| indexdate | 2024-10-25T16:16:35Z |
| institution | BVB |
| isbn | 9780080551357 0080551351 1281038377 9781281038371 |
| language | English |
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| series | Neural network systems, techniques, and applications ; |
| series2 | Neural network systems, techniques, and applications ; |
| spelling | Leondes, Cornelius T. Optimization techniques / edited by Cornelius T. Leondes. San Diego : Academic Press, 1998. 1 online resource (xxii, 398 pages :) text txt rdacontent computer c rdamedia online resource cr rdacarrier Neural network systems, techniques, and applications ; v. 2 Includes bibliographical references and indexes. Optimal learning in artificial neural networks : a theoretical view / Monica Bianchini [and others] -- Orthogonal transformation techniques in the optimization of feedforward neural network systems / Partha Pratim Kanjilal -- Sequential constructive techniques / Marco Muselli -- Fast backpropagation training using optimal learning rate and momentum / Xiao-Hu Yu, Li-Qun Xu, and Yong Wang -- Learning of nonstationary processes / V. Ruiz de Angulo and Carme Torras -- Constraint satisfaction problems / Hans Nikolaus Schaller -- Dominant neuron techniques / Jar-Ferr Yang and Chi-Ming Chen --CMAC-based techniques for adaptive learning control / Chun-Shin Lin, Ching-Tsan Chiang, and Hyongsuk Kim -- Information dynamics and neural techniques for data analysis / Gustavo Deco -- Radial basis function network approximation and learning in task-dependent feedforward control of nonlinear dynamical systems / Dimitry Gorinevsky. Print version record. "Optimization Techniques" is a unique reference source to a diverse array of methods for achieving optimization, and includes both systems structures and computational methods. The text devotes broad coverage to a unified view of optimal learning, orthogonal transformation techniques, sequential constructive techniques, fast back propagation algorithms, techniques for neural networks with nonstationary or dynamic outputs, applications to constraint satisfaction, optimization issues and techniques for unsupervised learning neural networks, optimum Cerebellar Model of Articulation Controller systems, a new statistical theory of optimum neural learning, and the role of the Radial Basis Function in nonlinear dynamical systems. This volume is useful for practitioners, researchers, and students in industrial, manufacturing, mechanical, electrical, and computer engineering. It provides in-depth treatment of theoretical contributions to optimal learning for neural network systems and offers a comprehensive treatment of orthogonal transformation techniques for the optimization of neural network systems.; It includes illustrative examples and comprehensive treatment of sequential constructive techniques for optimization of neural network systems and presents a uniquely comprehensive treatment of the highly effective fast back propagation algorithms for the optimization of neural network systems. It treats, in detail, optimization techniques for neural network systems with nonstationary or dynamic inputs. It covers optimization techniques and applications of neural network systems in constraint satisfaction Neural networks (Computer science) http://id.loc.gov/authorities/subjects/sh90001937 Mathematical optimization. http://id.loc.gov/authorities/subjects/sh85082127 Réseaux neuronaux (Informatique) Optimisation mathématique. COMPUTERS Enterprise Applications Business Intelligence Tools. bisacsh COMPUTERS Intelligence (AI) & Semantics. bisacsh Mathematical optimization fast Neural networks (Computer science) fast has work: Optimization techniques (Text) https://id.oclc.org/worldcat/entity/E39PCGcbFGYtxdJdWwTd3VjKVC https://id.oclc.org/worldcat/ontology/hasWork Print version: Leondes, Cornelius T. Optimization techniques. San Diego : Academic Press, 1998 9780124438620 (OCoLC)38285403 Neural network systems, techniques, and applications ; v. 2. FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=205636 Volltext CBO01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=205636 Volltext |
| spellingShingle | Leondes, Cornelius T. Optimization techniques / Neural network systems, techniques, and applications ; Optimal learning in artificial neural networks : a theoretical view / Monica Bianchini [and others] -- Orthogonal transformation techniques in the optimization of feedforward neural network systems / Partha Pratim Kanjilal -- Sequential constructive techniques / Marco Muselli -- Fast backpropagation training using optimal learning rate and momentum / Xiao-Hu Yu, Li-Qun Xu, and Yong Wang -- Learning of nonstationary processes / V. Ruiz de Angulo and Carme Torras -- Constraint satisfaction problems / Hans Nikolaus Schaller -- Dominant neuron techniques / Jar-Ferr Yang and Chi-Ming Chen --CMAC-based techniques for adaptive learning control / Chun-Shin Lin, Ching-Tsan Chiang, and Hyongsuk Kim -- Information dynamics and neural techniques for data analysis / Gustavo Deco -- Radial basis function network approximation and learning in task-dependent feedforward control of nonlinear dynamical systems / Dimitry Gorinevsky. Neural networks (Computer science) http://id.loc.gov/authorities/subjects/sh90001937 Mathematical optimization. http://id.loc.gov/authorities/subjects/sh85082127 Réseaux neuronaux (Informatique) Optimisation mathématique. COMPUTERS Enterprise Applications Business Intelligence Tools. bisacsh COMPUTERS Intelligence (AI) & Semantics. bisacsh Mathematical optimization fast Neural networks (Computer science) fast |
| subject_GND | http://id.loc.gov/authorities/subjects/sh90001937 http://id.loc.gov/authorities/subjects/sh85082127 |
| title | Optimization techniques / |
| title_auth | Optimization techniques / |
| title_exact_search | Optimization techniques / |
| title_full | Optimization techniques / edited by Cornelius T. Leondes. |
| title_fullStr | Optimization techniques / edited by Cornelius T. Leondes. |
| title_full_unstemmed | Optimization techniques / edited by Cornelius T. Leondes. |
| title_short | Optimization techniques / |
| title_sort | optimization techniques |
| topic | Neural networks (Computer science) http://id.loc.gov/authorities/subjects/sh90001937 Mathematical optimization. http://id.loc.gov/authorities/subjects/sh85082127 Réseaux neuronaux (Informatique) Optimisation mathématique. COMPUTERS Enterprise Applications Business Intelligence Tools. bisacsh COMPUTERS Intelligence (AI) & Semantics. bisacsh Mathematical optimization fast Neural networks (Computer science) fast |
| topic_facet | Neural networks (Computer science) Mathematical optimization. Réseaux neuronaux (Informatique) Optimisation mathématique. COMPUTERS Enterprise Applications Business Intelligence Tools. COMPUTERS Intelligence (AI) & Semantics. Mathematical optimization |
| url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=205636 |
| work_keys_str_mv | AT leondescorneliust optimizationtechniques |