{"product_id":"fundamental-simulation-methodologies-dwelling-in-neural-networks-von-uma-maheshwari-und-santhosh-rebello","title":"Fundamental Simulation Methodologies Dwelling in Neural Networks","description":"\u003cp\u003eNeural networks are processing devices which are  either algorithms or actual hard wares. Their  designs are motivated by the design and functioning  of human brains and components thereof. Neural  networks provide improved performance over  conventional technologies in the areas of machine  vision, robust pattern detection, signal filtering,  virtual reality, data segmentation, data  compression, data mining, text mining, artificial  life, adaptive control, optimization and  scheduling, complex mapping and many more. In this  book the fundamental simulation methodologies of  the neural networks - McCulloch Pitts neuron model,  Hebb''s network, perceptron network, ADALINE neuron  model, MADALINE neurons model, hetero associative  memory network, auto associative memory network,  bidirectional associative memory network, discrete  Hopfield network, back propagation network, self  organizing map network, learning vector  quantization network, max net, mexican hat network,  hamming net and counter propagation network are  described and illustrated with the help of  algorithms, MATLAB source codes and outputs.\u003c\/p\u003e\u003cdiv class=\"aw-variant-hidden-subtitle-div\" id=\"aw-variant-subtitle-9783844325799\"\u003e\u003ch3\u003eAlgorithms, MATLAB Source Codes and Outputs\u003c\/h3\u003e\u003c\/div\u003e","brand":"Autorenwelt Shop","offers":[{"title":"Softcover - 9783844325799","offer_id":39470039433309,"sku":"9783844325799","price":59.0,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0940\/0622\/files\/755767e0-4539-4d2d-bd3e-a829da4ee29c.jpg?v=1751350242","url":"https:\/\/shop.autorenwelt.de\/products\/fundamental-simulation-methodologies-dwelling-in-neural-networks-von-uma-maheshwari-und-santhosh-rebello","provider":"Autorenwelt Shop","version":"1.0","type":"link"}