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C++ Neural Networks and Fuzzy Logic Hayagriva Rao, Valluru B. Rao
Publisher: M & T Books

COMPUTER NETWORKS : 1, 3, 5, 6, 7 and 8 Units. DATA STRUCTURES THROUGH C++ : 2,3,4,6,7,8. 4-1 ECE (R07) For JNTU- HYD, JNTU-KAKINADA & JNTU-ANANTAPUR. Advance Computer Architecture (ACA) : 1,2,3,7,8 Units. Network Management Systems (NMS) : 1,2,3,4,5,6 Units (If u are perfect with 2,3 Units then 4,5 Units will be very easy.) Information Security (IS) : 1,2,3,4,7,8 Units. Artificial Neural Networks - Colin Fyfe Artificial Neural Networks in Real-life Applications - Juan R. Radar Systems NEURAL NETWORKS & FUZZY LOGIC : 1, 2, 3, 4, 6, 7. Neural Network based controller. Introduction to crisp sets and fuzzy sets, basic fuzzy set operation and approximate reasoning. The MathWorks provides lots of tools for clustering, including some (kmeans, for instance) in the Statistics Toolbox, and the Neural Networks and Fuzzy Logic Toolboxes. Hopfield network, Self-organizing network and Recurrent network. Rabunal C++ Neural Networks and Fuzzy Logic - Valluru B. This course introduces the basics of Neural Networks and essentials of Artificial Neural Networks with Single Layer and Multilayer Feed Forward Networks.