Spline Neural Networks
Tree-Structure Based Hybrid Computational Intelligence: Theoretical Foundations and Applications
Intelligent Systems Reference Library, Volume 2
Sрringеr | 2010 | ISBN: 3642047386 9783642047381 9783642047398 | 211 pages | PDF | 6 MB
This book illustrates an hybrid computational intelligence framework and it applications for various problem solving tasks. Based on tree-structure based encoding and the specific function operators, the models can be flexibly constructed and evolved by using simple computational intelligence techniques.
This volume comprises of 6 chapters including an introductory chapter giving the fundamental definitions and the last Chapter provides some important research challenges. Academics, scientists as well as engineers engaged in research, development and application of computational intelligence techniques and data mining will find the comprehensive coverage of this book invaluable.
Part I Foundations of Computational Intelligence
1 Foundations of Computational Intelligence
Artificial Neural Networks
Takagi-Sugeno Fuzzy Model
Hybrid Intelligent Systems
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Comprehensive Mathematics for Computer Scientists 2: Calculus and ODEs, Splines, Probability, Fourier and Wavelet Theory, Fractals and Neural Networks, Categories and Lambda Calculus (Universitext)
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