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SYSTEMS AND METHOD FOR TRAINING NEURONAL NETWORKS ON REGRESSION WITHOUT REFERENCE DATA TRAINING PATTERNS
SYSTEMS AND METHOD FOR TRAINING NEURONAL NETWORKS ON REGRESSION WITHOUT REFERENCE DATA TRAINING PATTERNS
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机译:在没有参考数据训练模式的情况下在神经网络上进行训练的系统和方法
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摘要
Disclosed are a method, a computer readable medium, and a system for training a neural network. The method includes the steps of selecting an input pattern from a set of training data that includes input patterns and noisy target patterns, the input patterns and the noisy target patterns each corresponding to a latent, defect-free target pattern. The input pattern is processed by a neural network model to produce an output, and a noisy target pattern is selected from the set of training data, the noisy target patterns having a distribution relative to the latent, defect-free target pattern. The method further includes adjusting parameter values of the neural network model to reduce differences between the output and the noisy target pattern.
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