This entry was posted on Monday, November 17th, 2008 at 12:40 pm and is filed under The Use of Neural Networks in Predicting the Stock Mark. You can follow any responses to this entry through the RSS 2.0 feed. You can leave a response, or trackback from your own site.
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November 17, 2008
How do neural networks work?
Whereas conventional computer programs are written specifically and involve specific rules given by the human programmer, ANNs are trained by example. They learn to associate patterns on their inputs with corresponding patterns on their outputs. Training the neural net involves giving it a sample from the library of known input patterns and the corresponding desired output. Then the neural network is told to adapt its connections. This is repeated with other input-output pattern pairs. Typically, the set of input-output pairs used for training the net has to be presented repeatedly many times, and so neural networks can often take several hours to train. Once the neural network has been trained, you can present an input pattern to it and it will produce the corresponding output pattern.
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