Matlab neural network principles and examples

First, it briefly introduces the use of MATLAB software and commonly used built-in functions, and then introduces different types of neural networks such as BP network, radial basis network, self-organizing network, feedback network, etc., and gives examples at the end of each chapter. .

• Chapter 1：Chapter 1-2 Neural Network Overview and MATLAB Quick Start (57 minutes and 43 seconds)

• Chapter 2：Chapter 3 MATLAB Functions and Neural Network Toolbox (1 hours and 1 minutes and 59 seconds)

• Chapter 3：Chapter 4 Single Layer Perceptron (26 minutes and 47 seconds)

• Chapter 4：Chapter 5 Linear Neural Networks (40 minutes and 56 seconds)

• Chapter 5：Chapter 6 BP Neural Network (48 minutes and 45 seconds)

• Chapter 6：Chapter 7 Radial Basis Function Network (1 hours and 2 minutes and 29 seconds)

• Chapter 7：Chapter 8 Self-Organizing Competitive Neural Networks (51 minutes and 55 seconds)

• Chapter 8：Chapter 9 Feedback Neural Networks (51 minutes and 23 seconds)

• Chapter 9：Chapter 10 Stochastic Neural Networks (40 minutes and 4 seconds)

• Chapter 10：Chapter 11 Designing Neural Networks with GUI (55 minutes and 34 seconds)

• Chapter 11：Chapter 13 Neural Network Application Examples (1 hours and 36 minutes and 14 seconds)