Two learning models,Zolu-continuous bags of words(ZL-CBOW)and Zolu-skip-grams(ZL-SG),based on the Zolu function are proposed.The slope of Relu in word2vec has been changed by the Zolu function.The proposed models can ...Two learning models,Zolu-continuous bags of words(ZL-CBOW)and Zolu-skip-grams(ZL-SG),based on the Zolu function are proposed.The slope of Relu in word2vec has been changed by the Zolu function.The proposed models can process extremely large data sets as well as word2vec without increasing the complexity.Also,the models outperform several word embedding methods both in word similarity and syntactic accuracy.The method of ZL-CBOW outperforms CBOW in accuracy by 8.43%on the training set of capital-world,and by 1.24%on the training set of plural-verbs.Moreover,experimental simulations on word similarity and syntactic accuracy show that ZL-CBOW and ZL-SG are superior to LL-CBOW and LL-SG,respectively.展开更多
To improve the fermentation yield of xylanase by optimizing the fermentation conditions for strain Xw2, a Plackett-Burman design was used to evaluate the effects of eight variables on xylanase production by strain Xw2...To improve the fermentation yield of xylanase by optimizing the fermentation conditions for strain Xw2, a Plackett-Burman design was used to evaluate the effects of eight variables on xylanase production by strain Xw2. The steepest ascent （descent） method was used to approach the optimal response surface experimental area. The optimal fermentation conditions were obtained by central composite design and response surface analysis. The results showed that the composition of the optimal fermentation medium was corn cob ＋ 1.5% wheat bran （1：1）, 0.04% MnSO4, 0.04% K2HPO4. 3H2O, and an inoculum size of 6% in 50 mL liquid volume （pH = 6.0）. The optimal culture conditions were 28oc at 150 r/min for 54.23 h. The results of this study can serve as the basis for the industrial production and application of xylanase.展开更多
基金Supported by the National Natural Science Foundation of China(61771051,61675025)。
文摘Two learning models,Zolu-continuous bags of words(ZL-CBOW)and Zolu-skip-grams(ZL-SG),based on the Zolu function are proposed.The slope of Relu in word2vec has been changed by the Zolu function.The proposed models can process extremely large data sets as well as word2vec without increasing the complexity.Also,the models outperform several word embedding methods both in word similarity and syntactic accuracy.The method of ZL-CBOW outperforms CBOW in accuracy by 8.43%on the training set of capital-world,and by 1.24%on the training set of plural-verbs.Moreover,experimental simulations on word similarity and syntactic accuracy show that ZL-CBOW and ZL-SG are superior to LL-CBOW and LL-SG,respectively.
文摘To improve the fermentation yield of xylanase by optimizing the fermentation conditions for strain Xw2, a Plackett-Burman design was used to evaluate the effects of eight variables on xylanase production by strain Xw2. The steepest ascent （descent） method was used to approach the optimal response surface experimental area. The optimal fermentation conditions were obtained by central composite design and response surface analysis. The results showed that the composition of the optimal fermentation medium was corn cob ＋ 1.5% wheat bran （1：1）, 0.04% MnSO4, 0.04% K2HPO4. 3H2O, and an inoculum size of 6% in 50 mL liquid volume （pH = 6.0）. The optimal culture conditions were 28oc at 150 r/min for 54.23 h. The results of this study can serve as the basis for the industrial production and application of xylanase.
