03523cam a22003854a 4500 16475219 OSt 20150408114103.0 100924s2011 flua b 001 0 eng 2010038461 9781439812587 (hardback) 1439812586 (hardback) (OCoLC)ocn667210573 DLC DLC YDX CDX YDXCP DLC pcc QH324.25 .H36 2011 570.28563 22 HGA MAT029000 SCI013000 SCI013010 bisacsh Hanrahan, Grady. 18238 Artificial neural networks in biological and environmental analysis / Grady Hanrahan. Boca Raton, FL : CRC Press, c2011. xxii, 188 p. : ill. (some col.) ; 25 cm. Analytical chemistry series Includes bibliographical references and index. "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. "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. Artificial intelligence Biological applications. 18239 Biology Data processing. 18240 Environmental engineering Data processing. 18241 Neural networks (Computer science) Scientific applications. 18242 Analytical chemistry series (CRC Press) 18243 7 cbc orignew 1 ecip 20 y-gencatlg ddc DVD 26406 260906 0 2013-03-10 0 0 570.28563 HGA 2012-12-16 CL 00401703 CL 2013-03-10 00:00:00 BOOK ddc 0 0 2013-03-10 0 0 570.28563 HGA 2013-01-01 CL 00401693 CL 2013-03-10 00:00:00 BOOK ddc 0 0 2013-03-10 0 0 570.28563 HGA 2013-01-01 CL 00401694 CL 2013-03-10 00:00:00 BOOK ddc 0