000			03523cam a22003854a 4500
001			16475219
003			OSt
005			20150408114103.0
008			100924s2011 flua b 001 0 eng
010			_a 2010038461
020			_a9781439812587 (hardback)
020			_a1439812586 (hardback)
035			_a(OCoLC)ocn667210573
040			_aDLC _cDLC _dYDX _dCDX _dYDXCP _dDLC
042			_apcc
050	0	0	_aQH324.25 _b.H36 2011
082	0	0	_a570.28563 _222 _bHGA
084			_aMAT029000 _aSCI013000 _aSCI013010 _2bisacsh
100	1		_aHanrahan, Grady. _918238
245	1	0	_aArtificial neural networks in biological and environmental analysis / _cGrady Hanrahan.
260			_aBoca Raton, FL : _bCRC Press, _cc2011.
300			_axxii, 188 p. : _bill. (some col.) ; _c25 cm.
490	1		_aAnalytical chemistry series
504			_aIncludes bibliographical references and index.
520			_a"Drawing on the experience and knowledge of a practicing professional, this book provides a comprehensive introduction and practical guide to the development, optimization, and application of artificial neural networks (ANNs) in modern environmental and biological analysis. Based on our knowledge of the functioning human brain, ANNs serve as a modern paradigm for computing. Presenting basic principles of ANNs together with simulated biological and environmental data sets and real applications in the field, this volume helps scientists comprehend the power of the ANN model to explain physical concepts and demonstrate complex natural processes"--Provided by publisher.
520			_a"The cornerstones of research into prospective tools of artificial intelligence originate from knowledge of the functioning brain. Like most transforming scientific endeavors, this field-- once viewed with speculation and doubt--has had profound impacts in helping investigators elucidate complex biological, chemical, and environmental processes. Such efforts have been catalyzed by the upsurge in computational power and availability, with the co-evolution of software, algorithms, and methodologies contributing significantly to this momentum. Whether or not the computational power of such techniques is sufficient for the design and construction of truly intelligent neural systems is of continued debate. In writing Artificial Neural Networks in Biological and Environmental Analysis, my aim was to provide in-depth and timely perspectives on the fundamental, technological, and applied aspects of computational neural networks. By presenting basic principles of neural networks together with real applications in the field, I seek to stimulate communication and partnership among scientists in the fields as diverse as biology, chemistry, mathematics, medicine, and environmental science. This interdisciplinary discourse is essential not only for the success of independent and collaborative research and teaching programs, but also for the continued acquiescence of the use of neural network tools in scientific inquiry"--Provided by publisher.
650		0	_aArtificial intelligence _xBiological applications. _918239
650		0	_aBiology _xData processing. _918240
650		0	_aEnvironmental engineering _xData processing. _918241
650		0	_aNeural networks (Computer science) _xScientific applications. _918242
830		0	_aAnalytical chemistry series (CRC Press) _918243
906			_a7 _bcbc _corignew _d1 _eecip _f20 _gy-gencatlg
942			_2ddc _cDVD
999			_c26406 _d260906