{"product_id":"neural-networks-an-introduction-9783540602071","title":"Neural Networks: An Introduction","description":"\u003cp\u003e • Author(s): Berndt Müller\u003cbr\u003e • Publisher: Springer\u003cbr\u003e • Publisher Imprint: Springer\u003cbr\u003e • BISAC: Data Science - Neural Networks\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eFrom the Back Cover\u003c\/b\u003e\u003cbr\u003e\u003cb\u003eNeural Networks\u003c\/b\u003e The concepts of neural-network models and techniques of parallel distributed processing are comprehensively presented in a three-step approach: - After a brief overview of the neural structure of the brain and the history of neural-network modeling, the reader is introduced to associative memory, preceptrons, feature-sensitive networks, learning strategies, and practical applications. - The second part covers more advanced subjects such as the statistical physics of spin glasses, the mean-field theory of the Hopfield model, and the \"space of interactions\" approach to the storage capacity of neural networks. - In the self-contained final part, seven programs that provide practical demonstrations of neural-network models and their learning strategies are discussed. The software is included on a 3 1\/2-inch MS-DOS diskette. The source code can be modified using Borland's TURBO-C 2.0 compiler, the Microsoft C compiler (5.0), or compatible compilers.\u003c\/p\u003e","brand":"Springer","offers":[{"title":"Paperback","offer_id":45273692569751,"sku":"9783540602071","price":3672.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9783540602071.webp?v=1769237294","url":"https:\/\/atlanticbooks.com\/products\/neural-networks-an-introduction-9783540602071","provider":"Atlantic Books","version":"1.0","type":"link"}