Get ready to learn **“Neural Networks & Fuzzy Logic ” **by simple and easy handwritten notes that were specially made for B.tech students (CSE). These notes are handwritten Notes of the Computer Subject “Neural Networks & Fuzzy Logic ” unit wise in Pdf format. These notes enables students to understand every concept of the the term “Neural Networks & Fuzzy Logic”.

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**UNIT 1.**

**Introduction: **Concepts of neural networks, Characteristics of Neural Networks, Historical Perspective, and Applications of Neural Networks.

**Fundamentals of Neural Networks: **The biological prototype, Neuron concept, Single layer Neural Networks, Multi-Layer Neural Networks, terminology, Notation and representation of Neural Networks, Training of Artificial Neural Networks.Representation of perceptron and issues, perceptron learning and training, Classification, linear Separability.

**Unit 2.**

**Hopfield nets: **Structure, training, and applications, Stability

**Back propagation: **Concept, Applications, and Back Propagation Training Algorithms.** Counter Propagation Networks: **Kohonan Network, Grossberg Layer & Training**, **applications of counter propagation, Image classification.

**UNIT 3.**

**Bi-directional Associative Memories: **Structure, retrieving a stored association, encoding associations, memory capacity.**ART: **ART architecture, ART classification operation, ART implementation, and characteristics of ART.Image Compression Using ART

**UNIT 4.**

**Optical Neural Networks: **Vector Matrix Multipliers, Hop field net using Electro optical matrix multipliers, Holographic correlator, Optical Hopfield net using Volume Holograms.**The Cognitrons and Neocognitrons: **Their structure and training.**Genetic Algorithms: **Elements, a simple genetic algorithm, working of genetic algorithms evolving neural networks.

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