7.2 Algorithm principle of Adaline and Multilayer Adaline在线视频

Artificial Neural Networks Theory and Its Applications课程列表：

Chapter 1 Theoretical basis of biological neural network

-1.1 Structure and function of biological neurons

-1.2 Electrical activity of the nervous system

-1.3 Information storage of human brain

-Discussion

-Test for Chapter 1

Chapter 2 Review of artificial neural network

-2.1 Development history of artificial neural network

-2.2 Characteristics and Applications of artificial neural network

-Discussion

-Test for Chapter 2

Chapter 3 Neuron model

-3.1 Neuron model

-Discussion

-Test for Chapter 3

Chapter 4 Perceptrons

-4.1 Architecture and Principle of Perceptron

-4.2 Single Layer Perceptron

-4.3 Applications

-Discussion

-Test for Chapter 4

Chapter 5 Back propagation neural network

-5.1 BP Neural Network Architecture

-5.2 BP algorithm principles

-5.3 BP Example

-5.4 Application case I

-5.5 Application case II

-5.6 Application case Ⅲ

-Discussion

-Test for Chapter 5

Chapter 6 RBF neural network

-6.1 RBF Architecture and Principle

-6.2 RBF algorithm

-6.3 Application case Ⅰ

-6.4 Application case Ⅱ

-Discussion

-Test for Chapter 6

Chapter 7 Adaline neural network

-7.1 Architecture of Adaline

-7.2 Algorithm principle of Adaline and Multilayer Adaline

-7.3 Applications case I

-7.4 Applications case II

-Discussion

-Test for Chapter 7

Chapter 8 Hopfield neural network

-8.1 Discrete Hopfield Neural Network

-8.2 Continues Hopfield Neural Network

-8.3 Application case

-Discussion

-Test for Chapter 8

Chapter 9 Deep Convolutional Neural Network

-9.1 Architecture and principle of deep convolution neural network

-9.2 Several DCNN architectures

-9.3 Several Deep learning frameworks

-Discussion

-Test for Chapter 9

Chapter 10 Generative adversarial networks

-10.1 GAN neural network

-10.2 GAN algorithm

-Discussion

-Test for Chapter 10

Chapter 11 Elman neural network

-11.1 Architecture and principle of Elman

-11.2 Algorithm and Stability of Elman

-11.3 Application case Ⅰ

-11.4 Application case Ⅱ

-Discussion

-Test for Chapter 11

Chapter 12 AdaBoost neural network

-12.1 AdaBoost neural network

-Discussion

-Test for Chapter 12

Chapter 13 SOFM neural network

-13.1 Architecture of SOFM

-13.2 Principle and algorithm of SOFM neural network

-13.3 Application case Ⅰ

-13.4 Application case Ⅱ

-Discussion

-Test for Chapter 13

Final Exam(期末考试)

-Final exam for 《 Artificial Neural Networks Theory and Its Applications》

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