Recurrent neural networks,.. Adaptive neuro-fuzzy information; systems (ANFIS), Hybrid Learning Algorithm, Applications to control and pattern recognition.
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The various neural network concepts are explained with examples, highlighting the difference between various architectures.. Fuzzy logic techniques have been ...
Her research areas include Neural Network, Fuzzy LOgic, Genetic Algorithm, Linear and Nonlinear Control Systems, Digital Control, Adaptive and Optimal ...
He received Learning Objectives Best Teacher Award in the year 2001 and Dbak.shina Murthy Award for Teaching Excellence from PSG 1.1 Neural Networks ...
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This ebook has been optimized for MobiPocket PDA.. Tables may have ... 11.4 Neural networks and intelligent systems: symbols versus neurons.. 11.5 A brief ...
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Principles of soft computing by Sivanandam and Deepa second edition here is the link to the required PDF enjoy: TB04_soft-computing-ebook.
Offered to: UG & PG.. Introduction to soft computing, hard computing, Need for soft computing; Neurons and neural networks; Basic models of artificial neural ...
with reality”.. Soft Computing Main Components: • Approximate Reasoning.. • Search & Optimization.
✓ Neural Networks, Fuzzy Logic, Evolutionary Algorithms ...
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