Aspects of encoder implementation in the context of neural networks

There are established results to show that a pattern recognition problem can be handled and trained by a neural network with hidden units. There is also a useful theorem which refers to the type of pattern recognition situations that can be recognised by a perceptron. The perceptron is essentially capable of linear classification. For a given encoder problem, the possibility exists of initially implementing a linear classifier. In the event the linear classifier fails to classify according to a defined convergence criteria, then the implementation with a neural network classifier with one or more hidden units can be considered.Master of Science (Communications and Computer Networking