Artificial Neural Networks for Solving Complex Problems

I just completed my independent study review paper. As the title suggests, it was about "Using Artificial Neural Networks to Solve Complex Problems". If you haven't heard about neural networks before, they are a new approach for solve problem inspired by inner workings of human brain. In traditional computing we have to give step by step instructions on how to solve specific problem to the computer. But in ANN that is not necessary, they can learn how to solve a particular problem from samples.

ANN technology is not a new thing, they exist since 1940s. When I first started this study, I thought that ANNs are only used for pattern recognition/classification and predicting some factors. But when I go more deeper in to the research, I was amazed by the diversity of fields where ANN is used. Most of the applications I came across during my review were successful in achieving their goals, but in field of cryptography use of ANN was not as successful as other fields.

Even though ANN technology is very successful in solving complex problem they have their own set of limitations. Major limitation is it's lack of ability to explain how they generate output. Another main limitation is not having formal method to find optimal network architecture for solving particular problem. But even with these limitations, future of ANN looks promising. There is lot of research going on in dedicated ANN hardware and hybrid ANNS. 

You can download my complete review paper here. Hope this will help you to learn more about ANN and it's applications.


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