Combinatorial Development of Solid Catalytic Materials. Design of High Throughput Experiments, Data Analysis, Data Mining

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F09%3A00334675" target="_blank" >RIV/67985807:_____/09:00334675 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Combinatorial Development of Solid Catalytic Materials. Design of High Throughput Experiments, Data Analysis, Data Mining
Original language description
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 describes evolutionary optimization in the context of methods of searching for optimal catalytic materials, including statistical design of experiments, and neuralnetworks in the 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 limitationsof that capability and describes two methods for how it can be improved. The book is also the first that presents automatic generating of problem-tailored genetic algorithms, and tuning evolutionary algorithms with neural networks.
Czech name
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Czech description
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Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year
2009
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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