Ebook: Towards Hybrid and Adaptive Computing: A Perspective

Soft Computing today is a very vast field whose extent is beyond measure. The boundaries of this magnificent field are spreading at an enormous rate making it possible to build computationally intelligent systems that can do virtually anything, even after considering the hostile practical limitations. Soft Computing, mainly comprising of Artificial Neural Networks, Evolutionary Computation, and Fuzzy Logic may itself be insufficient to cater to the needs of various kinds of complex problems. In such a scenario, we need to carry out amalgamation of same or different computing approaches, along with heuristics, to make fabulous systems for problem solving. There is further an attempt to make these computing systems as adaptable as possible, where the value of any parameter is set and continuously modified by the system itself. This book first presents the basic computing techniques, draws special attention towards their advantages and disadvantages, and then motivates their fusion, in a manner to maximize the advantages and minimize the disadvantages. Conceptualization is a key element of the book, where emphasis is on visualizing the dynamics going inside the technique of use, and hence noting the shortcomings. A detailed description of different varieties of hybrid and adaptive computing systems is given, paying special attention towards conceptualization and motivation. Different evolutionary techniques are discussed that hold potential for generation of fairly complex systems. The complete book is supported by the application of these techniques to biometrics. This not only enables better understanding of the techniques with the added application base, it also opens new dimensions of possibilities how multiple biometric modalities can be fused together to make effective and scalable systems.

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Soft Computing today is a very vast field whose extent is beyond measure. The boundaries of this magnificent field are spreading at an enormous rate making it possible to build computationally intelligent systems that can do virtually anything, even after considering the hostile practical limitations. Soft Computing, mainly comprising of Artificial Neural Networks, Evolutionary Computation, and Fuzzy Logic may itself be insufficient to cater to the needs of various kinds of complex problems. In such a scenario, we need to carry out amalgamation of same or different computing approaches, along with heuristics, to make fabulous systems for problem solving. There is further an attempt to make these computing systems as adaptable as possible, where the value of any parameter is set and continuously modified by the system itself. This book first presents the basic computing techniques, draws special attention towards their advantages and disadvantages, and then motivates their fusion, in a manner to maximize the advantages and minimize the disadvantages. Conceptualization is a key element of the book, where emphasis is on visualizing the dynamics going inside the technique of use, and hence noting the shortcomings. A detailed description of different varieties of hybrid and adaptive computing systems is given, paying special attention towards conceptualization and motivation. Different evolutionary techniques are discussed that hold potential for generation of fairly complex systems. The complete book is supported by the application of these techniques to biometrics. This not only enables better understanding of the techniques with the added application base, it also opens new dimensions of possibilities how multiple biometric modalities can be fused together to make effective and scalable systems.

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Soft Computing today is a very vast field whose extent is beyond measure. The boundaries of this magnificent field are spreading at an enormous rate making it possible to build computationally intelligent systems that can do virtually anything, even after considering the hostile practical limitations. Soft Computing, mainly comprising of Artificial Neural Networks, Evolutionary Computation, and Fuzzy Logic may itself be insufficient to cater to the needs of various kinds of complex problems. In such a scenario, we need to carry out amalgamation of same or different computing approaches, along with heuristics, to make fabulous systems for problem solving. There is further an attempt to make these computing systems as adaptable as possible, where the value of any parameter is set and continuously modified by the system itself. This book first presents the basic computing techniques, draws special attention towards their advantages and disadvantages, and then motivates their fusion, in a manner to maximize the advantages and minimize the disadvantages. Conceptualization is a key element of the book, where emphasis is on visualizing the dynamics going inside the technique of use, and hence noting the shortcomings. A detailed description of different varieties of hybrid and adaptive computing systems is given, paying special attention towards conceptualization and motivation. Different evolutionary techniques are discussed that hold potential for generation of fairly complex systems. The complete book is supported by the application of these techniques to biometrics. This not only enables better understanding of the techniques with the added application base, it also opens new dimensions of possibilities how multiple biometric modalities can be fused together to make effective and scalable systems.
Content:
Front Matter....Pages -
Front Matter....Pages 1-1
Introduction....Pages 3-30
Artificial Neural Networks....Pages 31-58
Genetic Algorithm....Pages 59-82
Fuzzy Logic....Pages 83-108
Front Matter....Pages 109-109
Speech Signal Analysis....Pages 111-128
Intelligent System Design in Speech....Pages 129-151
Intelligent Systems Design in Music....Pages 153-173
Intelligent System Design in Face....Pages 175-184
Front Matter....Pages 185-185
Swarm Intelligence....Pages 187-207
Genetic Programming....Pages 209-234
Evolutionary Strategies....Pages 235-247
Other Evolutionary Concepts....Pages 249-273
Front Matter....Pages 275-275
Evolutionary Neural and Fuzzy Systems....Pages 277-306
Modular Neural Networks....Pages 307-335
Chapter 15 Hybridizing Neural and Fuzzy Systems....Pages 337-359
Parallel and Hierarchical Evolutionary Algorithms....Pages 361-381
Front Matter....Pages 383-383
Fusion Methods in Biometrics....Pages 385-399
Multimodal Biometric Systems....Pages 401-418
Front Matter....Pages 419-419
Adaptive Systems....Pages 421-431
A Taxonomy of Models....Pages 433-439
A Programmer’s Approach....Pages 441-460

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Soft Computing today is a very vast field whose extent is beyond measure. The boundaries of this magnificent field are spreading at an enormous rate making it possible to build computationally intelligent systems that can do virtually anything, even after considering the hostile practical limitations. Soft Computing, mainly comprising of Artificial Neural Networks, Evolutionary Computation, and Fuzzy Logic may itself be insufficient to cater to the needs of various kinds of complex problems. In such a scenario, we need to carry out amalgamation of same or different computing approaches, along with heuristics, to make fabulous systems for problem solving. There is further an attempt to make these computing systems as adaptable as possible, where the value of any parameter is set and continuously modified by the system itself. This book first presents the basic computing techniques, draws special attention towards their advantages and disadvantages, and then motivates their fusion, in a manner to maximize the advantages and minimize the disadvantages. Conceptualization is a key element of the book, where emphasis is on visualizing the dynamics going inside the technique of use, and hence noting the shortcomings. A detailed description of different varieties of hybrid and adaptive computing systems is given, paying special attention towards conceptualization and motivation. Different evolutionary techniques are discussed that hold potential for generation of fairly complex systems. The complete book is supported by the application of these techniques to biometrics. This not only enables better understanding of the techniques with the added application base, it also opens new dimensions of possibilities how multiple biometric modalities can be fused together to make effective and scalable systems.
Content:
Front Matter....Pages -
Front Matter....Pages 1-1
Introduction....Pages 3-30
Artificial Neural Networks....Pages 31-58
Genetic Algorithm....Pages 59-82
Fuzzy Logic....Pages 83-108
Front Matter....Pages 109-109
Speech Signal Analysis....Pages 111-128
Intelligent System Design in Speech....Pages 129-151
Intelligent Systems Design in Music....Pages 153-173
Intelligent System Design in Face....Pages 175-184
Front Matter....Pages 185-185
Swarm Intelligence....Pages 187-207
Genetic Programming....Pages 209-234
Evolutionary Strategies....Pages 235-247
Other Evolutionary Concepts....Pages 249-273
Front Matter....Pages 275-275
Evolutionary Neural and Fuzzy Systems....Pages 277-306
Modular Neural Networks....Pages 307-335
Chapter 15 Hybridizing Neural and Fuzzy Systems....Pages 337-359
Parallel and Hierarchical Evolutionary Algorithms....Pages 361-381
Front Matter....Pages 383-383
Fusion Methods in Biometrics....Pages 385-399
Multimodal Biometric Systems....Pages 401-418
Front Matter....Pages 419-419
Adaptive Systems....Pages 421-431
A Taxonomy of Models....Pages 433-439
A Programmer’s Approach....Pages 441-460
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