000			04193nam a22004575i 4500
001			u374735
003			SIRSI
005			20160812084249.0
007			cr nn 008mamaa
008			100918s2010 gw | s |||| 0|eng d
020			_a9783642143441 _9978-3-642-14344-1
040			_cMX-MeUAM
050		4	_aQ342
082	0	4	_a006.3 _223
100	1		_aShukla, Anupam. _eauthor.
245	1	0	_aTowards Hybrid and Adaptive Computing _h[recurso electrónico] : _bA Perspective / _cby Anupam Shukla, Ritu Tiwari, Rahul Kala.
264		1	_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c2010.
300			_aXXIV, 460 p. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aStudies in Computational Intelligence, _x1860-949X ; _v307
505	0		_aSimple Computing Techniques -- Artificial Neural Networks -- Genetic Algorithm -- Fuzzy Logic -- Simple Intelliegent Systems -- Speech Signal Analysis -- Intelligent System Design in Speech -- Intelligent Systems Design in Music -- Intelligent System Design in Face -- Evolutionary Computing -- Swarm Intelligence -- Genetic Programming -- Evolutionary Strategies -- Other Evolutionary Concepts -- Hybrid Computing -- Evolutionary Neural and Fuzzy Systems -- Modular Neural Networks -- 15 Hybridizing Neural and Fuzzy Systems -- Parallel and Hierarchical Evolutionary Algorithms -- Hybrid Intelligent Systems -- Fusion Methods in Biometrics -- Multimodal Biometric Systems -- Other Supplementary Topics -- Adaptive Systems -- A Taxonomy of Models -- A Programmer’s Approach.
520			_aSoft 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.
650		0	_aEngineering.
650		0	_aArtificial intelligence.
650	1	4	_aEngineering.
650	2	4	_aComputational Intelligence.
650	2	4	_aArtificial Intelligence (incl. Robotics).
700	1		_aTiwari, Ritu. _eauthor.
700	1		_aKala, Rahul. _eauthor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9783642143434
830		0	_aStudies in Computational Intelligence, _x1860-949X ; _v307
856	4	0	_zLibro electrónico _uhttp://148.231.10.114:2048/login?url=http://link.springer.com/book/10.1007/978-3-642-14344-1
596			_a19
942			_cLIBRO_ELEC
999			_c202615 _d202615