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Two modeling methods were applied to optimize the culture conditions for nisin production by Lactococcus lactis subsp. lactis in shake flasks, respectively and the results obtained by these methods were compared. The effects of the candidate culture conditions on nisin titer (NTs) were investigated by Plackett-Burman design (PBD) experiments. A linear regression model was established using the data...
A screw performance degradation model based on neural network which was optimized by improved genetic algorithm was proposed to predict screw life accurately and provide active maintenance proof. Key factors which related to screw life were analyzed by screw motion mechanism. Three vibration sensors were installed on different position of screw and vibration signal were processed by EMD, time domain...
A new fuzzy optimization neural network model is proposed based on the Levenberg-Marquardt (LM) algorithm on account of the disadvantages of slow convergence of traditional fuzzy optimization neural network model. In this new model, the gradient descent algorithm is replaced by the LM algorithm to obtain the minimum of output errors during network training, which changes the weights adjusting equations...
We have applied principal component analysis -artificial neural network (PCA-ANN) in near infrared (NIR) spectroscopy to synchronous and rapid determining the contents of rifampicin (RMP), isoniazide (INH) and pyrazinamide (PZA) in compound rifampicin tablets. Back-propagation (BP) networks which adopt Levenberg-Marquardt training algorithm have been developed. Via analyzing the NIR spectra matrix...
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