{"product_id":"an-introduction-to-neural-networks-9781857285031","title":"An Introduction to Neural Networks","description":"\u003cp\u003eThough mathematical ideas underpin the study of neural networks  the author presents the fundamentals without the full mathematical apparatus. All aspects of the field are tackled  including artificial neurons as models of their real counterparts; the geometry of network action in pattern space; gradient descent methods  including back-propagation; associative memory and Hopfield nets; and self-organization and feature maps. The traditionally difficult topic of adaptive resonance theory is clarified within a hierarchical description of its operation. The book also includes several real-world examples to provide a concrete focus. This should enhance its appeal to those involved in the design  construction and management of networks in commercial environments and who wish to improve their understanding of network simulator packages. As a comprehensive and highly accessible introduction to one of the most important topics in cognitive and computer science  this volume should interest a wide range of readers  both students and professionals  in cognitive science  psychology  computer science and electrical engineering.\u003c\/p\u003e","brand":"My Store","offers":[{"title":"Default Title","offer_id":45279639109685,"sku":"ByrdShop_1857285034","price":81.59,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0627\/8139\/0901\/files\/9781857285031.jpg?v=1780604358","url":"https:\/\/atxbooks.com\/products\/an-introduction-to-neural-networks-9781857285031","provider":"ATX Books","version":"1.0","type":"link"}