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主要讨论了在谷物纹理识别中对神经网络的优化。通过比较优化神经网络和非优化神经网络的输入、输出之间的非线性联系 ,可知优化神经网络能够更迅速、准确地进行纹理识别。同时 ,该文还评价了优化方法的有效性。
Mainly discusses the neural network optimization in grain texture recognition. By comparing the nonlinear relationship between the input and output of the optimized neural network and the non-optimized neural network, it can be seen that the optimized neural network can recognize the texture more quickly and accurately. At the same time, the paper also evaluates the effectiveness of the optimization method.