Training learning method and system for neural network of paper pattern specification parameter inference model
A neural network and learning method technology, applied in neural learning methods, inference methods, biological neural network models, etc., can solve problems such as inappropriate training rates and inflexible training methods.
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[0083] The following are preferred embodiments of the present invention and the technical solution of the present invention is further described in conjunction with the accompanying drawings, but the present invention is not limited to these embodiments.
[0084] The training and learning method of the neural network of the paper pattern specification parameter inference model of the present invention, the training and learning of the BP neural network: the learning stage of training the network, the given pattern is used as the input of the network, and the network is required to adjust all the connection weights and each neuron. Threshold, so that the required ideal output can be obtained on the neurons in the output layer. Once the network completes this adjustment, another input mode is given with a corresponding ideal output, and the network is required to continue to complete the learning of this group of modes. This is actually The above is to require the network to find...
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