Freeman and Skapura provide a practical introduction to artificial neural systems (ANS). The authors survey the most common neural-network architectures and show how neural networks can be used to solve actual scientific and engineering problems and describe methodologies for simulating neural-network architectures on traditional digital computing systems.

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A textbook for a graduate or advanced undergraduate course in neural networks for computer-science or engineering students. Presumes the standard calculus, differential equations, and advanced mathematics acquired in the first three years of an engineering curriculum. Includes models inspired by, but not found by, studies of the brain. Annotation c

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