论文部分内容阅读
With the T-C recognition task in BP neural network finished, the final distributions of weights between input and hidden layer have been investigated under the conditions of receptive field(RF)-like and random initializing in global or local connective networks It is discovered that the final distributions of weights W show regular global symmetric distribution under RF-like initializing regardless of global and local connective networks; the distribution of central hidden units is similar to concentric RF-like distribution. But in the experiment on random initializing, this regularity did not appear, and the final distributions of weights are full of variety: some distributions of hidden units* resemble concentric RF-like distribution in retina and LGN or asymmetric RF in visual cortex. These phenomena exist in multi-channel BP networks.
With the TC recognition task in BP neural network finished, the final distributions of weights between input and hidden layer have been investigated under the conditions of receptive field (RF) -like and random initializing in global or local connective networks It is discovered that the final distributions of weights W show regular global symmetric distribution under RF-like initializing regardless of global and local connective networks; the distribution of central hidden units is similar to concentric RF-like distribution. But in the experiment on random initializing, this regularity did not appear , and the final distributions of weights are full of variety: some distributions of hidden units * resemble concentric RF-like distribution in retina and LGN or asymmetric RF in visual cortex. These phenomena exist in multi-channel BP networks.