{"product_id":"feed-forward-neural-networks-vector-decomposition-analysis-modelling-and-analog-implementation-9781461359906","title":"Feed-Forward Neural Networks: Vector Decomposition Analysis, Modelling and Analog Implementation","description":"\u003cp\u003e • Author(s): Jouke Annema\u003cbr\u003e • Publisher: Springer\u003cbr\u003e • Publisher Imprint: Springer\u003cbr\u003e • BISAC: Electronics - Circuits - General\u003c\/p\u003e\u003cp\u003e\u003cem\u003eFeed-Forward Neural Networks: Vector Decomposition Analysis, Modelling\u003c\/em\u003e \u003cem\u003eand Analog Implementation\u003c\/em\u003e presents a novel method for the mathematical analysis of neural networks that learn according to the back-propagation algorithm. The book also discusses some other recent alternative algorithms for hardware implemented perception-like neural networks. The method permits a simple analysis of the learning behaviour of neural networks, allowing specifications for their building blocks to be readily obtained. \u003cbr\u003e Starting with the derivation of a specification and ending with its hardware implementation, analog hard-wired, feed-forward neural networks with on-chip back-propagation learning are designed in their entirety. On-chip learning is necessary in circumstances where fixed weight configurations cannot be used. It is also useful for the elimination of most mis-matches and parameter tolerances that occur in hard-wired neural network chips. \u003cbr\u003e Fully analog neural networks have several advantages over other implementations: low chip area, low power consumption, and high speed operation. \u003cbr\u003e \u003cem\u003eFeed-Forward Neural Networks\u003c\/em\u003e is an excellent source of reference and may be used as a text for advanced courses. \u003cbr\u003e\u003c\/p\u003e","brand":"Springer","offers":[{"title":"Paperback","offer_id":45281751892119,"sku":"9781461359906","price":7267.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9781461359906.webp?v=1769300130","url":"https:\/\/atlanticbooks.com\/products\/feed-forward-neural-networks-vector-decomposition-analysis-modelling-and-analog-implementation-9781461359906","provider":"Atlantic Books","version":"1.0","type":"link"}