C++ Neural Networks and Fuzzy Logic:A Survey of Neural Network Models
have been discussed. An example of how adding another layer of neurons in a network can solve a problem that could not be solved without it is given in detail. A number of neural network models are introduced briefly. Learning and training, which form the basis of neural network behavior has not been included here, but will be discussed in the following chapter.
• What does it mean for a network to learn ?
• What differences are there between supervised and unsupervised learning ? • What training regimens are in common use for neural networks?
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