Artificial Neural Network in MATLAB

Basic introduction to the ANN toolbox in MATLAB is discussed in this official video of Mathworks.

Link of Introductory Video

Here is a link of PDF book on Neural Network Toolbox For Use with MATLAB® by Howard Demuth Mark Beale

http://www.image.ece.ntua.gr/courses_static/nn/matlab/nnet.pdf

The book has 840 pages and describes the ANN in the main following chapters:

1- Neural Network Application

2- Neuron Model and Network Architectures

3- Perceptron

4- Linear Filters

5- Back Propagation

6- Control System and some more chapters

Here is a link of website lisiting 100 good videos on neural network.

http://meta-guide.com/videography/100-best-matlab-neural-network-videos

Here is link of ppt which I found on web. It describes almost everything about neural network. I want to thanks Miss Anuradha Srinivas for her marvelous research. Below is link of ppt which you can download by click on the link In this ppt there are 85 slides which covers almost every aspect of neural network.

ANN ppt by Anuradha Srinivas on his blog.

So while summarizing the above notes some points of neural networks are following :

1- Neurons = nodes

2- connections = weights

3- Activation level of neuron or node

4- Learning Rules

Two kinds of learning

1- Parameter learning:- connection weights are updated

2- Structure Learning:- change in network structure

• The process of modifying the weights in the connections between network layers with the objective of achieving the expected output is called training a network.

• This is achieved through

–Supervised learning

–Unsupervised learning

–Reinforcement learning

#MATLAB #ArtificialIntelligence #ANNinMATLAB