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Combinatorial Development Of Solid Catalytic Materials: Design Of High-throughput Experiments, Data Analysis, Data Mining (Hardcover)
Loot Price: R2,582
Discovery Miles 25 820
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Combinatorial Development Of Solid Catalytic Materials: Design Of High-throughput Experiments, Data Analysis, Data Mining (Hardcover)
Series: Catalytic Science Series, 7
Expected to ship within 12 - 17 working days
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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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