MLPs have been applied successfully to solve some difficult and diverse problems by training them in a supervised manner with a highly popular algorithm known as Error Backpropagation Algorithm (EBP). EBP has been found to be very slow and may not actually converge and achieve desired error tolerance. Therefore, many variants or improved training algorithms have been developed and implemented. Neural Network Toolbox also provides functions to implement many such training algorithms.
Let us learn to apply neural networks with the help of a simple example.
Create and train an MLP to learn to evaluate the following function:
In order to implement the aforementioned problem ...