000			03096nam a22004695i 4500
001			u373197
003			SIRSI
005			20160812084134.0
007			cr nn 008mamaa
008			100702s2010 gw | s |||| 0|eng d
020			_a9783540737629 _9978-3-540-73762-9
040			_cMX-MeUAM
050		4	_aQ334-342
050		4	_aTJ210.2-211.495
082	0	4	_a006.3 _223
100	1		_aHe, Xingui. _eauthor.
245	1	0	_aProcess Neural Networks _h[recurso electrónico] : _bTheory and Applications / _cby Xingui He, Shaohua Xu.
264		1	_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c2010.
300			_a240p. 78 illus. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aAdvanced Topics in Science and Technology in China, _x1995-6819
505	0		_aArtificial Neural Networks -- Process Neurons -- Feedforward Process Neural Networks -- Learning Algorithms for Process Neural Networks -- Feedback Process Neural Networks -- Multi-aggregation Process Neural Networks -- Design and Construction of Process Neural Networks -- Application of Process Neural Networks.
520			_a"Process Neural Network: Theory and Applications" proposes the concept and model of a process neural network for the first time, showing how it expands the mapping relationship between the input and output of traditional neural networks and enhances the expression capability for practical problems, with broad applicability to solving problems relating to processes in practice. Some theoretical problems such as continuity, functional approximation capability, and computing capability, are closely examined. The application methods, network construction principles, and optimization algorithms of process neural networks in practical fields, such as nonlinear time-varying system modeling, process signal pattern recognition, dynamic system identification, and process forecast, are discussed in detail. The information processing flow and the mapping relationship between inputs and outputs of process neural networks are richly illustrated. Xingui He is a member of Chinese Academy of Engineering and also a professor at the School of Electronic Engineering and Computer Science, Peking University, China, where Shaohua Xu also serves as a professor.
650		0	_aComputer science.
650		0	_aArtificial intelligence.
650		0	_aOptical pattern recognition.
650	1	4	_aComputer Science.
650	2	4	_aArtificial Intelligence (incl. Robotics).
650	2	4	_aPattern Recognition.
700	1		_aXu, Shaohua. _eauthor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9783540737612
830		0	_aAdvanced Topics in Science and Technology in China, _x1995-6819
856	4	0	_zLibro electrónico _uhttp://148.231.10.114:2048/login?url=http://link.springer.com/book/10.1007/978-3-540-73762-9
596			_a19
942			_cLIBRO_ELEC
999			_c201077 _d201077