{"product_id":"9780080498980","title":"Algorithms and Architectures","description":"\u003cp\u003eThis volume is the first diverse and comprehensive treatment of algorithms and architectures for the realization of neural network systems. It presents techniques and diverse methods in numerous areas of this broad subject. The book covers major neural network systems structures for achieving effective systems, and illustrates them with examples.\u003c\/p\u003e \u003cp\u003eThis volume includes Radial Basis Function networks, the Expand-and-Truncate Learning algorithm for the synthesis of Three-Layer Threshold Networks, weight initialization, fast and efficient variants of Hamming and Hopfield neural networks, discrete time synchronous multilevel neural systems with reduced VLSI demands, probabilistic design techniques, time-based techniques, techniques for reducing physical realization requirements, and applications to finite constraint problems.\u003c\/p\u003e \u003cp\u003eA unique and comprehensive reference for a broad array of algorithms and architectures, this book will be of use to practitioners, researchers, and students in industrial, manufacturing, electrical, and mechanical engineering, as well as in computer science and engineering.\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eRadial Basis Function networks\u003c\/li\u003e\n\u003cli\u003eThe Expand-and-Truncate Learning algorithm for the synthesis of Three-Layer Threshold Networks\u003c\/li\u003e\n\u003cli\u003eWeight initialization\u003c\/li\u003e\n\u003cli\u003eFast and efficient variants of Hamming and Hopfield neural networks\u003c\/li\u003e\n\u003cli\u003eDiscrete time synchronous multilevel neural systems with reduced VLSI demands\u003c\/li\u003e\n\u003cli\u003eProbabilistic design techniques\u003c\/li\u003e\n\u003cli\u003eTime-based techniques\u003c\/li\u003e\n\u003cli\u003eTechniques for reducing physical realization requirements\u003c\/li\u003e\n\u003cli\u003eApplications to finite constraint problems\u003c\/li\u003e\n\u003cli\u003ePractical realization methods for Hebbian type associative memory systems\u003c\/li\u003e\n\u003cli\u003eParallel self-organizing hierarchical neural network systems\u003c\/li\u003e\n\u003cli\u003eDynamics of networks of biological neurons for utilization in computational neuroscience\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"Elsevier Science","offers":[{"title":"Default Title","offer_id":47108165173488,"sku":"9780080498980","price":102.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0737\/7593\/9824\/files\/9780080498980_p0.jpg?v=1763637343","url":"https:\/\/shop-qa.barnesandnoble.com\/products\/9780080498980","provider":"Barnes \u0026 Noble (DEV)","version":"1.0","type":"link"}