Towards hybrid and adaptive computing: a perspective

Soft Computing today is a very vast field whose extent is beyond measure. Theboundaries of this magnificent field are spreading at an enormous rate makingit possible to build computationally intelligent systems that can do virtually any-thing, even after considering the hostile practical limitations. Research over the years by numerous scholars has made this field today stand like a giant in solving all kinds of problems. At one end, the positive developments are a source of great encouragement and motivation for all whose fantasies of future and slowly turning out to be realities of today. At the other end the enormous research along with the gigantic literature is a scary sight for many young researchers who will to master this game. The dynamic nature of the fieldfurther ensures a person once on the cliff of awareness soon happens to come at the level of the shore unless updated. The other characteristic of the domain is its multi-disciplinary nature that involves knowledge from different fields to effectively make and deploy a system based on soft computing principles. This has again been the prime reason for the presence of people from different domains who make their contributions into the field in their own way. Further this result in a unique multi-directional development in a collaborative manner. In this context, this book addresses the various issues, problems, proposed solutions and driving factors behind the changes. We not only discuss the evolution of the various modern systems, but also give an in-depth analysis into their practical usage as effective problem solving tools. Well structured preseantion of the basic concepts of Artificial Neural Networks, Fuzzy Inference Systems and Evolutionary Algorithms that enable better understanding of problem solving using Soft Computing Explores the various hybrid approaches one byone Discusses the important traditional and modern evolutionary approaches INDICE: UNIT I: SIMPLE COMPUTING TECHNIQUES.- Chapter 1 Introduction.- Chapter 2 Artificial Neural Networks.- Chapter 3 Genetic Algorithm .-Chapter 4 Fuzzy Logic.- UNIT II: SIMPLE INTELLIEGENT SYSTEMS.- Chapter 5 Speech Signal Analysis.- Chapter 6 Intelligent System Design in Speech.- Chapter 7 Intelligent Systems Design in Music.- Chapter 8 Intelligent System Design in Face.- UNIT III: EVOLUTIONARY COMPUTING.- Chapter 9 Swarm Intelligence.- Chapter 10 GeneticProgramming.- Chapter 11 Evolutionary Strategies.- Chapter 12 Other Evolutionary Concepts.- UNIT IV: HYBRID COMPUTING.- Chapter 13 Evolutionary Neural and Fuzzy Systems.- Chapter 14 Modular Neural Networks.- Chapter 15 Hybridizing Neural and Fuzzy Systems.- Chapter 16 Hierarchal Evolutionary Algorithms.- UNIT V: HYBRID INTELLIGENT SYSTEMS.- Chapter 17 Fusion Methods in Biometrics.- Chapter 18 Multimodal Biometric Systems.- UNIT VI: OTHER SUPPLEMENTARY TOPICS.-Chapter 19 Adaptive Systems.- Chapter 20 A Taxonomy of Models.- Chapter 21 A Programmer’s Approach.

• ISBN: 978-3-642-14343-4
• Editorial: Springer
• Encuadernacion: Cartoné
• Páginas: 450
• Fecha Publicación: 24/08/2010
• Nº Volúmenes: 1
• Idioma: Inglés