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

Kód výsledku v 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>

Výsledek na webu

—

DOI - Digital Object Identifier

—

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

B - Odborná kniha

CEP obor

IN - Informatika

OECD FORD obor

—

Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2009

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

ISBN

978-1-84816-343-0

Počet stran knihy

178

Název nakladatele

Imperial College Press

Místo vydání

London

Kód UT WoS knihy

—