How to create a backpropagation neural network in neurondonet?

Question

I am doing stock market prediction using ANNs in c#.net. I am using NeuronDotNet for the neural part. I have to give eight inputs to the network, with a hidden layer consisting 8 nodes and a single node output layer. Can anybody please give me some coding ideas for this????

Answer 1

This project was not a AI course assignment, but my major project. I have studied about the stocks and found various factors that affected the future value of stock of a company. Now I have to use these factors as input to the neural network. I am not getting into how to implement these factors in the neural network. I have just decided to use those eight factors as eight nodes in the input layer but things are going complex. My concern is to use these factors as input and train the neural network for output as next day's stock value. What major things should I have to care about??