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Spam calls irritate people a lot. Many methods have been proposed to filter spam calls under different backgrounds. Regarding the sociology and psychology as a guide, we tried to propose a reputation model that can work in most backgrounds. In this paper, we proposed a reputation model based on trusted group and interaction scene, and then simulate the system and analysis the results. It appears a...
Aiming at the disadvantages of the single BP neural network in speech recognition, a method of speech recognition based on k-means clustering and neural network ensembles is presented in this paper. At first, a number of individual neural networks are trained, and then the k-means clustering algorithm is used to select a part of the trained individuals' weights and thresholds for improving diversity...
Fuzzy Integral is widely accepted and applied in multi-classifier fusion to express the importance of individual classifiers and the interaction among classifiers. In this fusion model, there are two keys to determine. One is determining the fuzzy measure. Many researchers have done much work and proposed many types of fuzzy measure and methods to determine fuzzy measures. Another is selecting from...
Aiming at the optimization of volume minimization, to create the optimized model of spiral bevel helical gear which includes 14 design variables, 14 transmission quality constraints, and discrete modulus values on the basis of genuine engineering examples; to construct mathematic functions with good performance as well as corresponding programs, integrate with MATLAB optimization toolbox, realize...
This study develops the royalty negotiation model of BOT (Build, operate, and transfer) projects for government and private sector by Bi-level programming approach. There were few studies to explore the royalty negotiation about BOT projects; however, the royalty negotiation is one of many critical negotiation items of concession contract. This study not only develops royalty negotiation model for...
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