000			02068nam a22002417a 4500
999			_c57776 _d57776
003			IN-MiVU
005			20191211160731.0
006			m|||||o||d| 00| 0
007			cr uuu---uuuuu
008			180605s2010 xxu||||go|||| 00| 0 eng d
020			_a9789814466899 ( e-book )
040			_aMAIN _beng _cIN-MiVU
041	0		_aeng
100	1		_aZhang, WenJun
245	0	0	_aComputational Ecology : _bArtificial Neural Networks and Their Applications [ electronic resource ] / _cby WenJun Zhang.
260			_bWorld Scientific Publishing Co Pte Ltd, _c2010
520			_aDue to the complexity and non-linearity of most ecological problems, artificial neural networks (ANNs) have attracted attention from ecologists and environmental scientists in recent years. As these networks are increasingly being used in ecology for modeling, simulation, function approximation, prediction, classification and data mining, this unique and self-contained book will be the first comprehensive treatment of this subject, by providing readers with overall and in-depth knowledge on algorithms, programs, and applications of ANNs in ecology. Moreover, a new area of ecology, i.e., computational ecology, is proposed and its scopes and objectives are defined and discussed. Computational Ecology consists of two parts: the first describes the methods and algorithms of ANNs, interpretability and mathematical generalization of neural networks, Matlab neural network toolkit, etc., while the second provides case studies of applications of ANNs in ecology, Matlab codes, and comparisons of ANNs with conventional methods. This publication will be a valuable reference for research scientists, university teachers, graduate students and high-level undergraduates in the areas of ecology, environmental sciences, and computational science.
650	1	0	_aLife Sciences
650	1	0	_aBiology
655		4	_aElectronic books
856	4	0	_uhttps://www.worldscientific.com/worldscibooks/10.1142/7436 _yhttps://www.worldscientific.com/worldscibooks/10.1142/7436 _zView to click
942			_2ddc _cEB