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...
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
London :
Imperial College Press,
©2009.
|
Schriftenreihe: | Catalytic science series ;
v. 7. |
Schlagworte: | |
Online-Zugang: | 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: | 1 online resource (xi, 178 pages :) |
Bibliographie: | Includes bibliographical references (pages 172-174) and index. |
ISBN: | 9781848163447 1848163444 |
Internformat
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245 | 1 | 0 | |a Combinatorial development of solid catalytic materials : |b design of high-throughput experiments, data analysis, data mining / |c Manfred Baerns, Martin Holeňa. |
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505 | 0 | |a ch. 1. Background of combinatorial catalyst development / M. Baerns -- ch. 2. Approaches in the development of heterogeneous catalysts / M. Baerns -- ch. 3. Mathematical methods of searching for optimal catalytic materials / M. Holena -- ch. 4. Generating problem-tailored genetic algorithms for catalyst search / M. Holena -- ch. 5. Analysis and mining of data collected in catalytic experiments / M. Holena -- ch. 6. Artificial neural networks in the development of catalytic materials / M. Holena -- ch. 7. Tuning evolutionary algorithms with artificial neural networks / M. Holena -- ch. 8. Improving neural network approximations / M. Holena -- ch. 9. Applications of combinatorial catalyst development and an outlook on future work / M. Baerns. | |
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. | ||
650 | 0 | |a Catalysis |x Computer simulation. | |
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adam_text | |
any_adam_object | |
author | Baerns, M. (Manfred), 1934- |
author2 | Holeňa, Martin |
author2_role | |
author2_variant | m h mh |
author_GND | http://id.loc.gov/authorities/names/n2003013022 http://id.loc.gov/authorities/names/nb2010004074 |
author_facet | Baerns, M. (Manfred), 1934- Holeňa, Martin |
author_role | |
author_sort | Baerns, M. 1934- |
author_variant | m b mb |
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callnumber-label | QD505 |
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callnumber-subject | QD - Chemistry |
collection | ZDB-4-EBA |
contents | ch. 1. Background of combinatorial catalyst development / M. Baerns -- ch. 2. Approaches in the development of heterogeneous catalysts / M. Baerns -- ch. 3. Mathematical methods of searching for optimal catalytic materials / M. Holena -- ch. 4. Generating problem-tailored genetic algorithms for catalyst search / M. Holena -- ch. 5. Analysis and mining of data collected in catalytic experiments / M. Holena -- ch. 6. Artificial neural networks in the development of catalytic materials / M. Holena -- ch. 7. Tuning evolutionary algorithms with artificial neural networks / M. Holena -- ch. 8. Improving neural network approximations / M. Holena -- ch. 9. Applications of combinatorial catalyst development and an outlook on future work / M. Baerns. |
ctrlnum | (OCoLC)670430633 |
dewey-full | 006.3 |
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dewey-ones | 006 - Special computer methods |
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dewey-sort | 16.3 |
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discipline | Informatik |
format | Electronic eBook |
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id | ZDB-4-EBA-ocn670430633 |
illustrated | Illustrated |
indexdate | 2024-10-25T16:17:51Z |
institution | BVB |
isbn | 9781848163447 1848163444 |
language | English |
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publishDate | 2009 |
publishDateSearch | 2009 |
publishDateSort | 2009 |
publisher | Imperial College Press, |
record_format | marc |
series | Catalytic science series ; |
series2 | Catalytic science series ; |
spelling | Baerns, M. (Manfred), 1934- https://id.oclc.org/worldcat/entity/E39PBJfRGKcMXQMFXWCd4HgHYP http://id.loc.gov/authorities/names/n2003013022 Combinatorial development of solid catalytic materials : design of high-throughput experiments, data analysis, data mining / Manfred Baerns, Martin Holeňa. London : Imperial College Press, ©2009. 1 online resource (xi, 178 pages :) text txt rdacontent computer c rdamedia online resource cr rdacarrier data file Catalytic science series ; vol. 7 Includes bibliographical references (pages 172-174) and index. Print version record. ch. 1. Background of combinatorial catalyst development / M. Baerns -- ch. 2. Approaches in the development of heterogeneous catalysts / M. Baerns -- ch. 3. Mathematical methods of searching for optimal catalytic materials / M. Holena -- ch. 4. Generating problem-tailored genetic algorithms for catalyst search / M. Holena -- ch. 5. Analysis and mining of data collected in catalytic experiments / M. Holena -- ch. 6. Artificial neural networks in the development of catalytic materials / M. Holena -- ch. 7. Tuning evolutionary algorithms with artificial neural networks / M. Holena -- ch. 8. Improving neural network approximations / M. Holena -- ch. 9. Applications of combinatorial catalyst development and an outlook on future work / M. Baerns. 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. Catalyse Simulation par ordinateur. Catalyse Modèles mathématiques. COMPUTERS Enterprise Applications Business Intelligence Tools. bisacsh COMPUTERS Intelligence (AI) & Semantics. bisacsh Catalysis Computer simulation fast Catalysis Mathematical models fast Holeňa, Martin. https://id.oclc.org/worldcat/entity/E39PBJmtDTfrDm638MCH6fbjmd http://id.loc.gov/authorities/names/nb2010004074 has work: Combinatorial development of solid catalytic materials (Text) https://id.oclc.org/worldcat/entity/E39PCGX4X9dgM93r4FXFY6HX3P https://id.oclc.org/worldcat/ontology/hasWork Print version: Baerns, M. (Manfred), 1934- Combinatorial development of solid catalytic materials. London : Imperial College Press, ©2009 9781848163430 (OCoLC)505908468 Catalytic science series ; v. 7. http://id.loc.gov/authorities/names/no00008086 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=340634 Volltext CBO01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=340634 Volltext |
spellingShingle | Baerns, M. (Manfred), 1934- Combinatorial development of solid catalytic materials : design of high-throughput experiments, data analysis, data mining / Catalytic science series ; ch. 1. Background of combinatorial catalyst development / M. Baerns -- ch. 2. Approaches in the development of heterogeneous catalysts / M. Baerns -- ch. 3. Mathematical methods of searching for optimal catalytic materials / M. Holena -- ch. 4. Generating problem-tailored genetic algorithms for catalyst search / M. Holena -- ch. 5. Analysis and mining of data collected in catalytic experiments / M. Holena -- ch. 6. Artificial neural networks in the development of catalytic materials / M. Holena -- ch. 7. Tuning evolutionary algorithms with artificial neural networks / M. Holena -- ch. 8. Improving neural network approximations / M. Holena -- ch. 9. Applications of combinatorial catalyst development and an outlook on future work / M. Baerns. Catalysis Computer simulation. Catalysis Mathematical models. Catalyse Simulation par ordinateur. Catalyse Modèles mathématiques. COMPUTERS Enterprise Applications Business Intelligence Tools. bisacsh COMPUTERS Intelligence (AI) & Semantics. bisacsh Catalysis Computer simulation fast Catalysis Mathematical models fast |
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 Holeňa. |
title_fullStr | Combinatorial development of solid catalytic materials : design of high-throughput experiments, data analysis, data mining / Manfred Baerns, Martin Holeňa. |
title_full_unstemmed | Combinatorial development of solid catalytic materials : design of high-throughput experiments, data analysis, data mining / Manfred Baerns, Martin Holeňa. |
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. Catalyse Simulation par ordinateur. Catalyse Modèles mathématiques. COMPUTERS Enterprise Applications Business Intelligence Tools. bisacsh COMPUTERS Intelligence (AI) & Semantics. bisacsh Catalysis Computer simulation fast Catalysis Mathematical models fast |
topic_facet | Catalysis Computer simulation. Catalysis Mathematical models. Catalyse Simulation par ordinateur. Catalyse Modèles mathématiques. COMPUTERS Enterprise Applications Business Intelligence Tools. COMPUTERS Intelligence (AI) & Semantics. Catalysis Computer simulation Catalysis Mathematical models |
url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=340634 |
work_keys_str_mv | AT baernsm combinatorialdevelopmentofsolidcatalyticmaterialsdesignofhighthroughputexperimentsdataanalysisdatamining AT holenamartin combinatorialdevelopmentofsolidcatalyticmaterialsdesignofhighthroughputexperimentsdataanalysisdatamining |