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.
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.
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.
