Description
This course defines biological, physical, and different mathematical models for Artificial
Neural Networks (ANN), compare these models, and investigate the relationship
between neural network learning and symbolic learning methods. Consideration is
given to the relevance of these different issues when ANN’s are applied to problemsolving