Pattern recognition with neural networks in C

作者: Robert B. Macy , Abhijit S. Pandya

DOI:

关键词: Graduate levelRendering (computer graphics)Mathematical modelArtificial neural networkCellular neural networkPattern recognitionComputer scienceArtificial intelligenceNeural modeling fieldsNervous system network modelsMachine learning

摘要: From the Publisher: The addition of artificial neural network computing to traditionalpattern recognition has given rise a new, different, and more powerful methodology that is presented in this interesting book. This practical guide application networks. Geared toward practitioner, Pattern Recognition with Neural Networks C++ covers pattern classification approaches within same framework. Through book's presentation underlying theory numerous examples, readers gain an understanding will allow them make judicious design choices rendering predictable effective. The book provides intuitive explanation each method for paradigm. discussion supported by rigorous mathematical approach where necessary. C++ emerged as rich descriptive means which concepts, models, or algorithms can be precisely described. For many models discussed, programs are actual implementation. Pictorial diagrams in-depth discussions explain topic. Necessary derivative steps included so incorporate new ideas into their field advances developments. approach, authors clearly state known theoretical results, tendencies recommendations getting best results from method. The material covered accessible working engineers little no explicit background networks. However, sufficient depth those prior knowledge find beneficial. also suitable courses networks at advanced undergraduate graduate level. valuable academic well research.

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