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Artificial Neural Networks

Research on artificial neural network modeling started in the early 1940s when the first scientific paper by Warren McCulloch and Walter Pitts was published. The motivation came from the fields of artificial intelligence and neuroscience when initial investigators attempted to model the workings of neurons in the human brain. One of the hypothesized reasons for the brain's superiority compared with common computers lies in the fact that neurons function in parallel. There are approximately 1012 neurons in the human brain, all interconnected and receiving input from many other neurons, as well as stimulating many others in a conglomeration of complex interconnections. Thus, neural networks are able to perform highly complex computing tasks in an efficient and powerful manner. In addition, they are able to integrate ...

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