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基本説明
From fundamentals to advanced systems as Multilayer Perceptron Artificial Neural Networks (ANN-MLP), Radial Basis Function Networks (RBF) and its relations with Fuzzy Sets and Support Vector Machines theory.
Full Description
Computational Intelligence is tolerant of imprecise information, partial truth and uncertainty. This book presents a selected collection of contributions on a focused treatment of important elements of CI, centred on its key element: learning. This book presents novel applications and real world applications working in Manufacturing and Engineering, and it sets a basis for understanding Domotic and Production Methods of the XXI Century.
Contents
Dedication. Contributing Authors. Preface. Acknowledgments. Chapter 1: Soft Computing and its Applications in Engineering and Manufacture; DT Pham, PTN Pham, MS Packianather, AA Afify. Chapter 2: Neural Networks Historical Review; D Andina, A Vega-Corona, JI Seijas, J Torres-Garcia.. Chapter 3: Artificial Neural Networks; DT Pham, MS Packianather, AA Fify. Chapter 4: Application of Neural Networks; D Andina, A Vega-Corona, JI Seijas, JM Alarcon. Chapter 5: Radial Basis Function Networks and their Application on Communication Systems; A Gallardo-Antolin, J Pascual-Garcia, JL Sancho-Gomez. Chapter 6: Biological Clues for Up-to-date Artificial Neuron; J Ropero-Pelaez, JR Castillo-Piqueira. Chapter 7: Support Vector Machines; J Gomez-Saenz-de-Tjada, J Seijas. Chapter 8: Fractals as Preprocessing Tool for Computational Intelligence Applications; A Tarquis, V Mendez, JM Anton, JB Grau, D Andina.
