project topic for neural network for freshers? [closed]

Question

Closed. This question needs to be more focused. It is not currently accepting answers.

---

Want to improve this question? Update the question so it focuses on one problem only by editing this post.

Closed 8 years ago.

Improve this question

I want to start working on neural network for my final project I want a topic which could be completed on 2-3 months of work and also It should be of good understanding for a fresher, as I am new to this topic and I want to learn by doing this project. It should not be very tough to understand and start work.

Answer 1

You could write a simple OCR using a Hopfield neural network.

A good start would be:

• A comparative study of neural network algorithms applied to optical character recognition
• Hopfield Networks: A Simple OCR Application

It is a relatively simple fun project.

It would be even easier if you could use Matlab and some of its modules. But even if you were to implement it in Java or some similar language, I think it should be doable in 3 months for a beginner.

In Matlab, you could start with the following:

• Hopfield Neural Network
• Hopfield Two Neuron Design

You will need the Neural Network Toolbox which has to be purchased separately I think.

Answer 2

Your first question should be what and not how you want to classify. Depending on the problem, you can choose a fitting classifier. It's hard for you to decide the detailed solution before knowing the actual problem.

Simple topics (depending on your personal background) can be text, audio or image analysis. OCR is quite typical (you can use the MNIST database for that, it's well researched so you can compare your own results). To get a general idea of what applications are out there, you should also definitely have a look at the UCI database. It has all sorts of data.

The easiest Type of Neural Network to understand and implement is a Single Layer Perceptron. To also classify non-linearly seperable data (which is needed in most real-world scenarios), you can use a Multi Layer Perceptron with 3 layers (in/hidden/out).