IT-701 Soft Computing Notes
4 notes for Soft Computing, unit by unit.
Notes for IT-701
- Unit 1 · Short notes Introduction to Neural Network Concept · Biological neural network · Comparison of ANN with biological NN · Evolution of artificial neural network · Basic models · Types of learning
- Unit 2 · Short notes Supervised Learning Perceptron learning · Single layer/multilayer · Adaline · Madaline · Back propagation network · RBFN
- Unit 3 · Short notes Unsupervised learning Introduction · Fixed weight competitive nets · Kohonen SOM · Counter Propagation networks (Theory, Architecture, Flow Chart, Training Algorithm and applications) · Introduction to Convolutional neural networks (CNN) · Recurrent neural networks (RNN)
- Unit 5 · Short notes Genetic Algorithm Introduction to GA · Simple Genetic Algorithm · Terminology and operators of GA (individual, gene, fitness, population, data structure, encoding, selection, crossover, mutation, convergence criteria) · Reasons for working of GA and Schema theorem · GA optimization problems like TSP (Travelling salesman problem) · Network design routing
More for IT-701
Other 7th semester IT subjects
- IT-702 (A) Data Science
- IT-702 (B) Cloud Computing
- IT-702 (C) SIMULATION & MODELING
- IT-702 (D) Augmented and Virtual Reality
- IT-703 (A) Cyber Laws and Forensics
- IT-703 (B) Internet of Things
- IT-703 (C) Social Networks
- IT-703 (D) Digital Image Processing
- IT-704 Cloud Computing Lab
- IT-705 IoT Lab