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I have written an artifical neural network (ANN) implementation for myself (it was fun). I am thinking now about where can I use it.
What are the key areas in the real world, where ANN is being used?
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They are good for Pattern Recognition, Classification and Optimization. This includes handwriting recognition, face recognition, speech recognition, text translation, credit card fraud detection, medical diagnosis and solutions for huge amounts of data.
Since then, neural networks have supported diverse tasks, including computer vision, speech recognition, machine translation, social network filtering, playing board and video games, and medical diagnosis.
Neural networks can provide robust solutions to problems in a wide range of disciplines, particularly areas involving classification, prediction, filtering, optimization, pattern recognition, and function approximation.
ANNs are an example of a "learning" system, one that "trains" on input data (in some domain) in order to effectively classify (unseen) data in that domain. They've been used for everything from character recognition to computer games and beyond.
If you're trying to find a domain, pick some topic or field that interests you, and see what kinds of classification problems exist there.
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Most often for classifying noisy inputs into fixed categories, like handwritten letters into their equivalent character, spoken voice into phonemes, or noisy sensor readings into a set of fixed values. Usually, the set of categories is small (23 letters, couple of dozen phonemes, etc.)
Others will point out how all these things are better done with specialized algorithms....
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