The present study is the result of an investigation of the organization of milk producers in the region of Fartura, SP, relations between the various actors in this chain of milk, the benefits obtained from this relat...The present study is the result of an investigation of the organization of milk producers in the region of Fartura, SP, relations between the various actors in this chain of milk, the benefits obtained from this relationship and classification of these properties in the dairy chain, allowing to measure productivity through the proposed indicators. Research has shown that dairy farmers in the region of Fartura had several benefits to organizing themselves as a Local Productive Arrangement or Social Networks, especially in relation to a better pay the price of a gallon of milk. To achieve these results, farmers had to invest to improve technological standards and production processes and thereby increase milk quality and productivity.展开更多
With more and more researches about improving BP algorithm, there are more improvement methods. The paper researches two improvement algorithms based on quasi-Newton method, DFP algorithm and L-BFGS algorithm. After f...With more and more researches about improving BP algorithm, there are more improvement methods. The paper researches two improvement algorithms based on quasi-Newton method, DFP algorithm and L-BFGS algorithm. After fully analyzing the features of quasi- Newton methods, the paper improves BP neural network algorithm. And the adjustment is made for the problems in the improvement process. The paper makes empirical analysis and proves the effectiveness of BP neural network algorithm based on quasi-Newton method. The improved algorithms are compared with the traditional BP algorithm, which indicates that the imoroved BP algorithm is better.展开更多
文摘The present study is the result of an investigation of the organization of milk producers in the region of Fartura, SP, relations between the various actors in this chain of milk, the benefits obtained from this relationship and classification of these properties in the dairy chain, allowing to measure productivity through the proposed indicators. Research has shown that dairy farmers in the region of Fartura had several benefits to organizing themselves as a Local Productive Arrangement or Social Networks, especially in relation to a better pay the price of a gallon of milk. To achieve these results, farmers had to invest to improve technological standards and production processes and thereby increase milk quality and productivity.
文摘With more and more researches about improving BP algorithm, there are more improvement methods. The paper researches two improvement algorithms based on quasi-Newton method, DFP algorithm and L-BFGS algorithm. After fully analyzing the features of quasi- Newton methods, the paper improves BP neural network algorithm. And the adjustment is made for the problems in the improvement process. The paper makes empirical analysis and proves the effectiveness of BP neural network algorithm based on quasi-Newton method. The improved algorithms are compared with the traditional BP algorithm, which indicates that the imoroved BP algorithm is better.
