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Neural Netwrork NOTES and PAPERS with SYLLABUS mdu btech paper free download - admin - 03-01-2015 DOWNLOAD ALL PREVIOUS YEAR PAPERS HERE of both old and new scheme
download all solved papers here [url=http://studentsuvidha.com/forum/Thread-compiler-design-solved-papers-mdu-btech][/url]please post some notes here or you can mail at admin@studentsuvidha.com SYLLABUS:- Section A Overview of biological neurons: Structure of biological neurons relevant to ANNs. Fundamental concepts of Artificial Neural Networks: Models of ANNs; Feedforward & feedback networks; learning rules; Hebbian learning rule, perception learning rule, delta learning rule, Widrow-Hoff learning rule, correction learning rule, Winner –lake all elarning rule, etc. Section B Single layer Perception Classifier: Classification model, Features & Decision regions; training & classification using discrete perceptron, algorithm, single layer continuous perceptron networks for linearlyseperable classifications. Multi-layer Feed forward Networks: linearly non-seperable pattern classification, Delta learning rule for multi-perceptron layer, Generalized delta learning rule, Error back-propagation training, learning factors, Examples. Section C Single layer feed back Networks: Basic Concepts, Hopfield networks, Training & Examples. Associative memories: Linear Association, Basic Concepts of recurrent Auto associative memory: rentrieval algorithm, storage algorithm; By directional associative memory, Architecture, Association encoding & decoding, Stability. Section D Self organizing networks: UN supervised learning of clusters, winner-take-all learning, recall mode, Initialisation of weights, seperability limitations |