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.

Contenuti

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.

Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.

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