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Books > Medicine > Other branches of medicine > Environmental medicine
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Artificial Neural Networks in Biological and Environmental Analysis (Paperback)
Loot Price: R2,230
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Artificial Neural Networks in Biological and Environmental Analysis (Paperback)
Series: Analytical Chemistry
Expected to ship within 10 - 15 working days
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Originating from models of biological neural systems, artificial
neural networks (ANN) are the cornerstones of artificial
intelligence research. Catalyzed by the upsurge in computational
power and availability, and made widely accessible with the
co-evolution of software, algorithms, and methodologies, artificial
neural networks have had a profound impact in the elucidation of
complex biological, chemical, and environmental processes.
Artificial Neural Networks in Biological and Environmental Analysis
provides an in-depth and timely perspective on the fundamental,
technological, and applied aspects of computational neural
networks. Presenting the basic principles of neural networks
together with applications in the field, the book stimulates
communication and partnership among scientists in 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 interest in the use of neural
network tools in scientific inquiry. The book covers: A brief
history of computational neural network models in relation to brain
function Neural network operations, including neuron connectivity
and layer arrangement Basic building blocks of model design,
selection, and application from a statistical perspective
Neurofuzzy systems, neuro-genetic systems, and neuro-fuzzy-genetic
systems Function of neural networks in the study of complex natural
processes Scientists deal with very complicated systems, much of
the inner workings of which are frequently unknown to researchers.
Using only simple, linear mathematical methods, information that is
needed to truly understand natural systems may be lost. The
development of new algorithms to model such processes is needed,
and ANNs can play a major role. Balancing basic principles and
diverse applications, this text introduces newcomers to the field
and reviews recent developments of interest to active neural
network practitioners.
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