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پاورپوینت شبکه های عصبی                 نوع فایل: power point قابل ویرایش  26اسلاید   قسمتی از اسلایدها: Pre-1940: von Hemholtz, Mach, Pavlov, etc. General theories of learning, vision, conditioning No specific mathematical models of neuron operation 1940s: Hebb, McCulloch and Pitts Mechanism for learning in biological neurons Neural-like networks can compute any arithmetic function 1950s: Rosenblatt, Widrow and Hoff First practical networks and learning rules 1960s: Minsky and Papert Demonstrated limitations of existing neural networks, new learning algorithms are not forthcoming, some research suspended 1970s: Amari, Anderson, Fukushima, Grossberg, Kohonen Progress continues, although at a slower pace 1980s: Grossberg, Hopfield, Kohonen, Rumelhart, etc. Important new developments cause a resurgence in the field   فهرست مطالب و اسلایدها: Historical Sketch Applications Biology Inspiration Math Inspiration Transfer Functions Multi ... دریافت فایل
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