This is a project for CSCI 447: Soft Computing with Dr. John Sheppard at Montana State Univeristy. This program is a runnable .jar file that builds and tests a neural network for approximating the Rosenbrock function.
For MLP network: java -jar neuralNet.jar mlp <numInputs>-<numHiddenNodes>-<numOutputs>
For RBF network: java -jar neuralNet.jar rbf <numInputs>-<numFunctions>-<numOutputs>
MLP, 2 inputs, no hidden layers, 1 output
java -jar neuralNet.jar mlp 2-1
MLP, 2 inputs, 1 hidden layer with 10 nodes, 1 output
java -jar neuralNet.jar mlp 2-10-1
MLP, 2 inputs, 1 hidden layer with 10 nodes, 1 hidden layer with 5 nodes, 1 output
java -jar neuralNet.jar mlp 2-10-5-1
RBF, 2 inputs, 10 functions, 1 output
java -jar neuralNet.jar rbf 2-10-1