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An Introduction to the Mathematics of Neurons Hoppensteadt Hardback 2e

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Product Description

An Introduction to the Mathematics of Neurons

Modeling in the Frequency Domain

Describes signal processing aspects of neural networks and their applications. This is an excellent text for advanced undergraduates and graduates in the physical sciences, mathematics, engineering, medicine and life sciences.

Frank C. Hoppensteadt (Author)

9780521590754, Cambridge University Press

Hardback, published 28 June 1997

232 pages

23.7 x 15.8 x 2.4 cm, 0.493 kg

\""...a brief and nice introduction to the mathematical methods and models used in the theory of neural networks and their applications.\""

Monatshefte fur Mathematik

This book describes the signal processing aspects of neural networks. It begins with a presentation of the necessary background material in electronic circuits, mathematical modeling and analysis, signal processing, and neurosciences, and then proceeds to applications. These applications include small networks of neurons, such as those used in control ]

An Introduction to the Mathematics of Neurons Hoppensteadt Hardback 2e

An Introduction to the Mathematics of Neurons

Modeling in the Frequency Domain

Describes signal processing aspects of neural networks and their applications. This is an excellent text for advanced undergraduates and graduates in the physical sciences, mathematics, engineering, medicine and life sciences.

Frank C. Hoppensteadt (Author)

9780521590754, Cambridge University Press

Hardback, published 28 June 1997

232 pages

23.7 x 15.8 x 2.4 cm, 0.493 kg

\""...a brief and nice introduction to the mathematical methods and models used in the theory of neural networks and their applications.\""

Monatshefte fur Mathematik

This book describes the signal processing aspects of neural networks. It begins with a presentation of the necessary background material in electronic circuits, mathematical modeling and analysis, signal processing, and neurosciences, and then proceeds to applications. These applications include small networks of neurons, such as those used in control ]

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