【摘要】 运用小波变换模极大值估测信号奇异点理论准确测定了发酵过程菌体生长的 3个不同时期 ,去掉了测量噪声的影响 .该方法比用神经网络建模方法需要的信息量少 ,计算简单 ,计算机仿真和实验数据的计算结果都表明该方法是有效的 .更多还原

【Abstract】 The local maxima of the wavelet transform modulus were developed to identify different phases in the growth cycle of fermentation.This method could get rid of noises and require less data and simpler computation than neural networks.Results of the experiments show that the method is effective.更多还原