This book focuses on the current and potential capabilities of artificial intelligence (AI) methods for experimental applications in chemistry, biology, and natural sciences. The author emphasizes major calculation techniques including neural networks, genetic algorithms, knowledge-based systems, and vector support machines. The text also covers secondary methods such as self-organizing maps, ant systems, swarm intelligence, fuzzy methods, cellular automata, and allied techniques. For each method, it discusses underlying theory, problems it can address, implementation issues, and examples of applications. An accompanying CD-ROM contains useful source code and datasets.
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