In the program, I created an MLP network to classify points into 5 classes. We have a dataset of points, based on which the net trains. In the end, we test the network with 5 custom poins. In this ...

This is a project that involved developing a feed-forward backpropagation ANN for predicting the crystal growth rates of mutliple organic compounds and comparing it to the a MNLR. Although this was ...

This program helps us to understand the basics of artificial neural networks and how one can use them for further applications. This project is available at Artificial Neural Network Simulation. 11.

Artificial neural network, in essence, is an attempt to simulate the brain. When the user enters the inputs (say, p1, ... The final weights are fed to MATLAB program to get the desired output. ... m ...

DynaSim is an open-source MATLAB/GNU Octave toolbox for rapid prototyping of neural models and batch simulation management. It is designed to speed up and simplify the process of generating, sharing, ...

Several simulations were performed in MATLAB software to determine the best total road project cost model. The best neural network architecture consists of 7 input variables, ... This neural network ...

The best neural network architecture consists of 7 input variables, 12 neurons in the hidden layer and 1 output variable. This neural network model satisfactorily predicted the total cost with ...