Neural Networks

Neural networks are an approach to machine learning which developed out of attempts to model the processing that occurs within the neurons of the brain. By using simple processing units (neurons), organized in a layered and highly parallel architecture, it is possible to perform arbitrarily complex calculations. Learning is achieved through repeated minor modifications to selected neurons, which results in a very powerful classification system. A problem with neural networks is that it very difficult to understand their internal reasoning process, and therefore to obtain an explanation for any particular conclusion. They are best used, therefore, when the results of a model are more important than understanding how the model works. Neural network software is used to recognize handwriting, and also to control chemical processes to run at desired conditions. Other applications include stock market analysis, fingerprint identification, character recognition, speech recognition, credit analysis, scientific analysis of data, and in neurophysiological research. Neural networks are also known as neural nets, connectionism, and parallel associative memory.


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Neural Networks, Neural networks are an approach to machine learning which developed out of attempts to model the processing that occurs within the neurons of the brain. By using simple processing units (neurons), organized in a layered and highly parallel architecture, it is possible to perform arbitrarily complex calculations. Learning is achieved through repeated minor modifications to selected neurons, which results in a very powerful classification system. A problem with neural networks is that it very difficult to understand their internal reasoning process, and therefore to obtain an explanation for any particular conclusion. They are best used, therefore, when the results of a model are more important than understanding how the model works. Neural network software is used to recognize handwriting, and also to control chemical processes to run at desired conditions. Other applications include stock market analysis, fingerprint identification, character recognition, speech recognition, credit analysis, scientific analysis of data, and in neurophysiological research. Neural networks are also known as neural nets, connectionism, and parallel associative memory.,