Contact hours/week (2 hours lectures+2 hour practice)
Assessment of Students: Semester report+Exam
Tutor: Dr. Samad Dadvandipour
Work on artificial neural networks, commonly referred to as ”neural networks,” has been motivated right from its inception by the recognition that the brain computes in entirely different way from the conventional digital computer. The fundamentals of Artificial Neural Network (ANN) covers mainly the structural levels of organization in the brain, models of a neuron, neural networks viewed as directed graphs, feedback, network architectures, knowledge representation, visualizing process in neural networks, artificial intelligence & neural networks and historical problems. Furthermore learning process and perceptron as basic conciderations are the essential parts at study of neural network.