{"product_id":"neural-information-processing-and-vlsi-von-joongho-choi-bing-j-sheu","title":"Neural Information Processing and VLSI","description":"\n                                \n                \u003cem\u003eNeural Information Processing and VLSI\u003c\/em\u003e\n                                 provides a unified  treatment of this important subject for use in classrooms, industry,  and research laboratories, in order to develop advanced artificial and  biologically-inspired neural networks using compact analog and digital  VLSI parallel processing techniques. \n                \n                \u003cbr\u003e\n                                  \n                \n                \u003cem\u003eNeural Information Processing and VLSI\u003c\/em\u003e\n                                 systematically presents  various neural network paradigms, computing architectures, and the  associated electronic\/optical implementations using efficient VLSI  design methodologies. Conventional digital machines cannot perform  computationally-intensive tasks with satisfactory performance in such  areas as intelligent perception, including visual and auditory signal  processing, recognition, understanding, and logical reasoning (where  the human being and even a small living animal can do a superb job).  Recent research advances in artificial and biological neural networks  have established an important foundation for high-performance  information processing with more efficient use of computing resources.  The secret lies in the design optimization at various levels of  computing and communication of intelligent machines. Each neural  network system consists of massively paralleled and distributed signal  processors with every processor performing very simple operations,  thus consuming little power. Large computational capabilities of these  systems in the range of some hundred giga to several tera operations  per second are derived from collectively parallel processing and  efficient data routing, through well-structured interconnection  networks. Deep-submicron very large-scale integration (VLSI)  technologies can integrate tens of millions of transistors in a single  silicon chip for complex signal processing and information  manipulation. \n                \n                \u003cbr\u003e\n                                  The book is suitable for those interested in efficient neurocomputing  as well as those curious about neural network system applications. It  has beenespecially prepared for use as a text for advanced  undergraduate and first year graduate students, and is an excellent  reference book for researchers and scientists working in the fields  covered. \n                \n                \u003cbr\u003e\n                            \n            \u003cdiv class=\"aw-variant-hidden-subtitle-div\" id=\"aw-variant-subtitle-9781461359463\"\u003e\u003ch3\u003e\u003c\/h3\u003e\u003c\/div\u003e","brand":"Libri","offers":[{"title":"Softcover - 9781461359463","offer_id":39415657463901,"sku":"9781461359463","price":160.49,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0940\/0622\/files\/7ec4167b-d635-4963-a76f-87d88089a3c5.jpg?v=1774757267","url":"https:\/\/shop.autorenwelt.de\/en\/products\/neural-information-processing-and-vlsi-von-joongho-choi-bing-j-sheu","provider":"Autorenwelt Shop","version":"1.0","type":"link"}