amijugjug / Mausam

Raw implementation of supervise machine learning algorithm in JAVA, Neural Networks implementation using JAVA to predict the weather provided on the dataset.

Mausam

Mausam is a weather prediction desktop application.

This application is build in Java.
It is a raw implementation of supervised machine learning algorithm.
I used Neural Networks to predict the weather provided on a dataset.

Key Points

1. It uses BackPropagation Algorithm to correct the output.
2. One can choose the number of hidden layers between the input and output layer of Neural Networks.
3. JFrame is used to show the output on screen.
4. Output is shown in terms of graph.
5. Whole things are based on class architecure hence a concrete example of how OOPs work could also be found.

Technologies Used

1. Fundamentals of core java.
2. JFrame Framework of java to show a graphical output.
3. Knowledge of Neural Networks and Backpropagation Algorithm.

Thanks Giving

I would like to thanks my project partners Mr. Kanhaiya Kumar and Mr. Sovan Mondal for helping me out throughout the project.

References

This project is posible only because of the book "Neural Network Programming with Java" by Fabio M. Soares and Alan M. F. Soares special thanks to them.