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Journal: International Journal of Computer Science and Mobile Computing - IJCSMC (Vol.8, No. 6)

Publication Date:

Authors : ; ; ;

Page : 183-186

Keywords : Artificial Neural Networks; ANN; Neural networks; Adaptive learning; depth sensor;

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An artificial neural network is a combination of hardware or software which simulates the operation of neurons inside the human brain. Neural networks also called as Artificial Neural Networks(ANN), Neural networks AKA Artificial Neural Networks is a sub-branch of artificial intelligence. The two main important theories.Two of the important theories so far have been used in artificial neural networks are adaptive learning and prototype learning. Internal parameters depending on the model are adjusted to take the classes and class parameters keep varying. Adaptive learning theory uses examples of several classes and parameters can be adjusted internally. Where as prototype learning use prototypes for each class, there are a number of classes and one prototype per class exists. In this model we are implementing a new algorithm using prototype incorporated emotional neural network which is changing according to the new characteristics which are being received from the new hardware where depth sensor is added.

Last modified: 2019-08-14 19:09:52