Combinatorial development of solid catalytic materials: design of high-throughput experiments, data analysis, data mining
The book provides a comprehensive treatment of combinatorial development of heterogeneous catalysts. In particular, two computer-aided approaches that have played a key role in combinatorial catalysis and high-throughput experimentation during the last decade - evolutionary optimization and artifici...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
London
Imperial College Press
c2009
|
| Schriftenreihe: | Catalytic science series
v. 7 |
| Schlagworte: | |
| Online-Zugang: | FHN01 Volltext |
| Zusammenfassung: | The book provides a comprehensive treatment of combinatorial development of heterogeneous catalysts. In particular, two computer-aided approaches that have played a key role in combinatorial catalysis and high-throughput experimentation during the last decade - evolutionary optimization and artificial neural networks - are described. The book is unique in that it describes evolutionary optimization in a broader context of methods of searching for optimal catalytic materials, including statistical design of experiments, as well as presents neural networks in a broader context of data analysis. It is the first book that demystifies the attractiveness of artificial neural networks, explaining its rational fundamental - their universal approximation capability. At the same time, it shows the limitations of that capability and describes two methods for how it can be improved. The book is also the first that presents two other important topics pertaining to evolutionary optimization and artificial neural networks : automatic generating of problem-tailored genetic algorithms, and tuning evolutionary algorithms with neural networks. Both are not only theoretically explained, but also well illustrated through detailed case studies |
| Beschreibung: | xi, 178 p. ill. (some col.) |
| ISBN: | 9781848163447 |
Internformat
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| 520 | |a The book provides a comprehensive treatment of combinatorial development of heterogeneous catalysts. In particular, two computer-aided approaches that have played a key role in combinatorial catalysis and high-throughput experimentation during the last decade - evolutionary optimization and artificial neural networks - are described. The book is unique in that it describes evolutionary optimization in a broader context of methods of searching for optimal catalytic materials, including statistical design of experiments, as well as presents neural networks in a broader context of data analysis. It is the first book that demystifies the attractiveness of artificial neural networks, explaining its rational fundamental - their universal approximation capability. At the same time, it shows the limitations of that capability and describes two methods for how it can be improved. The book is also the first that presents two other important topics pertaining to evolutionary optimization and artificial neural networks : automatic generating of problem-tailored genetic algorithms, and tuning evolutionary algorithms with neural networks. Both are not only theoretically explained, but also well illustrated through detailed case studies | ||
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Datensatz im Suchindex
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| author | Baerns, Manfred 1934-2021 |
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| dewey-full | 541.395 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 541 - Physical chemistry |
| dewey-raw | 541.395 |
| dewey-search | 541.395 |
| dewey-sort | 3541.395 |
| dewey-tens | 540 - Chemistry and allied sciences |
| discipline | Chemie / Pharmazie |
| format | Electronic eBook |
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| id | DE-604.BV044633402 |
| illustrated | Illustrated |
| indexdate | 2024-07-10T07:57:42Z |
| institution | BVB |
| isbn | 9781848163447 |
| language | English |
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| series2 | Catalytic science series |
| spelling | Baerns, Manfred 1934-2021 Verfasser (DE-588)106670425 aut Combinatorial development of solid catalytic materials design of high-throughput experiments, data analysis, data mining Manfred Baerns, Martin Holena London Imperial College Press c2009 xi, 178 p. ill. (some col.) txt rdacontent c rdamedia cr rdacarrier Catalytic science series v. 7 The book provides a comprehensive treatment of combinatorial development of heterogeneous catalysts. In particular, two computer-aided approaches that have played a key role in combinatorial catalysis and high-throughput experimentation during the last decade - evolutionary optimization and artificial neural networks - are described. The book is unique in that it describes evolutionary optimization in a broader context of methods of searching for optimal catalytic materials, including statistical design of experiments, as well as presents neural networks in a broader context of data analysis. It is the first book that demystifies the attractiveness of artificial neural networks, explaining its rational fundamental - their universal approximation capability. At the same time, it shows the limitations of that capability and describes two methods for how it can be improved. The book is also the first that presents two other important topics pertaining to evolutionary optimization and artificial neural networks : automatic generating of problem-tailored genetic algorithms, and tuning evolutionary algorithms with neural networks. Both are not only theoretically explained, but also well illustrated through detailed case studies Catalysis / Computer simulation Catalysis / Mathematical models Heterogene Katalyse (DE-588)4123377-3 gnd rswk-swf Kombinatorische Synthese (DE-588)4513555-1 gnd rswk-swf Katalysator (DE-588)4029919-3 gnd rswk-swf Katalysator (DE-588)4029919-3 s Heterogene Katalyse (DE-588)4123377-3 s Kombinatorische Synthese (DE-588)4513555-1 s 1\p DE-604 Holena, Martin Sonstige oth Erscheint auch als Druck-Ausgabe 1848163436 Erscheint auch als Druck-Ausgabe 9781848163430 http://www.worldscientific.com/worldscibooks/10.1142/P620#t=toc Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Baerns, Manfred 1934-2021 Combinatorial development of solid catalytic materials design of high-throughput experiments, data analysis, data mining Catalysis / Computer simulation Catalysis / Mathematical models Heterogene Katalyse (DE-588)4123377-3 gnd Kombinatorische Synthese (DE-588)4513555-1 gnd Katalysator (DE-588)4029919-3 gnd |
| subject_GND | (DE-588)4123377-3 (DE-588)4513555-1 (DE-588)4029919-3 |
| title | Combinatorial development of solid catalytic materials design of high-throughput experiments, data analysis, data mining |
| title_auth | Combinatorial development of solid catalytic materials design of high-throughput experiments, data analysis, data mining |
| title_exact_search | Combinatorial development of solid catalytic materials design of high-throughput experiments, data analysis, data mining |
| title_full | Combinatorial development of solid catalytic materials design of high-throughput experiments, data analysis, data mining Manfred Baerns, Martin Holena |
| title_fullStr | Combinatorial development of solid catalytic materials design of high-throughput experiments, data analysis, data mining Manfred Baerns, Martin Holena |
| title_full_unstemmed | Combinatorial development of solid catalytic materials design of high-throughput experiments, data analysis, data mining Manfred Baerns, Martin Holena |
| title_short | Combinatorial development of solid catalytic materials |
| title_sort | combinatorial development of solid catalytic materials design of high throughput experiments data analysis data mining |
| title_sub | design of high-throughput experiments, data analysis, data mining |
| topic | Catalysis / Computer simulation Catalysis / Mathematical models Heterogene Katalyse (DE-588)4123377-3 gnd Kombinatorische Synthese (DE-588)4513555-1 gnd Katalysator (DE-588)4029919-3 gnd |
| topic_facet | Catalysis / Computer simulation Catalysis / Mathematical models Heterogene Katalyse Kombinatorische Synthese Katalysator |
| url | http://www.worldscientific.com/worldscibooks/10.1142/P620#t=toc |
| work_keys_str_mv | AT baernsmanfred combinatorialdevelopmentofsolidcatalyticmaterialsdesignofhighthroughputexperimentsdataanalysisdatamining AT holenamartin combinatorialdevelopmentofsolidcatalyticmaterialsdesignofhighthroughputexperimentsdataanalysisdatamining |