Computational intelligence for engineering and manufacturing
Author(s)
Bibliographic Information
Computational intelligence for engineering and manufacturing
Springer, c2007
- : HB
Available at 3 libraries
Note
Includes bibliographical references
Description and Table of Contents
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.
Table of 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.
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