作者: Stephen T. Welstead
DOI:
关键词: Artificial neural network 、 Computer science 、 Neuro-fuzzy 、 Artificial intelligence 、 Fuzzy logic 、 Fuzzy control system 、 Machine learning 、 Fuzzy electronics 、 Interface (computing) 、 Backpropagation 、 Adaptive neuro fuzzy inference system
摘要: From the Publisher: Many books discuss theory of neural and fuzzy systems, but this is only one that gives you everything need to actually design implement programs for real-world scientific, engineering, financial applications. Each chapter self-contained takes reader through all steps - from data preparation presentation results necessary develop a complete working application, many which feature interactive graphics. In addition basics such as backpropagation feedforward networks, book also covers number advanced methods, including genetic algorithms, simulated annealing, conjugate gradient methods. A complete, step-by-step guide developing applications; applications forecasting, modeling chaotic dynamics, pattern classification, control unstable systems; provides wealth sample code critically evaluates how well each application works; features creating object-oriented interface framework can be run.