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Contents:
Neural Networks: definition, similarity with human brain, classifications, input/output set, bias or threshold, learning, single layer and multilayer perception, forward and backward propagation, design of ANN model, training set for ANN, test for ANN, Network testing and performance. Application of ANN in Engineering.Fuzzy Logic: Fuzzy set theory, set theoretic operations, law of contradiction and law of Excluded Middle, fuzzy operation, reasoning and implication, fuzzy logic system applications.
Introduction:
For a very long time, one of the goals of the humankind was to develop machines performing all complex معقدة annoying مزعجة and tedious مملة tasks.Artificial Intelligence (AI) is concerned with developing machines that simulate the way human being behaves and thinks in order to perform tasks in which humans are better.
Human brain is a highly complex, nonlinear, and parallel information processing system.
It has the capability مقدرة to recognize its structural constituents المقومات البنائية, known as neurons العصبونات , so as to perform certain computations many times faster than existing digital computers.
Definitions:
An Artificial Neural Network (ANN) is an intelligent information-processing model that is inspired أثيرت by the way the biological nervous systems function such as how the brain processes information. The key element of this model is the novel غير مألوف structure of the information processing system. Moreover, a neural network is defined as the machine that is designed to model the way in which the brain performs a particular task or function of interest.