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In order to accomplish speech quality evaluation tasks in an efficient and economical way, objective computational models which simulate human hearing characteristics of speech perception have been intensively researched in the past decades. Several models have already been developed and standardized in telecommunication industry to assess the listening quality of speech signals transmitted through...
The research system of data mining and analysis for statistics in Qinghai Province is a manifest analysis, inquiry, and service system built up upon the existing network of the provincial statistics bureau with the increasing national, local and social concern on statistics and the rapid expansion of the statistic information and aiming at meeting the needs of governments for statistic information...
Considering the impact of the objective environment on the economic system, this article introduces gray elements to a dynamic input-output model which is based on variable structure control, and proposes the methods of determining the important parameters of the model. This model can reveal the relationship between propensity to consume, propensity to invest, the structure of consumption and investment,...
In these years, logistics real estate has become the new point of profit growth in logistics enterprises. As the carrier of logistics activities, it plays a vital role in improving the efficiency of logistics operations, reducing logistics costs and improving logistics enterprise's core competitiveness. In this paper, we provide some suggestions for the business model of logistics real estate in China,...
A simple biosphere model (version 2, SiB2) is an ecological model with high simulation accuracy, which can be used to simulate the dynamic change of the fluxes of water, heat and carbon. This paper simulated the dynamic change of the fluxes of energy and CO2 by SiB2 based on the observational data from June 20, 2005 to October 9, 2005 in Weishan experimental station. The results showed that SiB2 was...
The discrimination and supervision of insider trading and market manipulation is very hard because of the cover-up used and the large trading data. So this paper firstly analyses the impact of insider trading and market manipulation on the security market. Based on it, we set up the discrimination model with probabilistic neural network, and use it to discriminate the insider trading and market manipulation...
Multi-Shaker in the vibration environment simulation testing has dominated the tendency since shortcomings caused by the single-shaker are able to be avoided by using it. A system equilibrium synthesis approach in terms of the random vibration test control is presented to make up for the shortages of the various methods. A control system is established by taking hardware architecture of the multiprocessor...
During the period of e-government innovation, the occurrence of surplus of objects and asymmetry of information, along with the imperfection of market result in the corrupt activities of rent-seeking. The behavior of rent-seeking always yields such bad results that society resources wasted, procurement quality reduced and society atmosphere ruined. This paper starts with a review on the related work...
In order to better understand, control, and optimize the supply chain, the advantages of modeling & simulation the coal industry in China play an important role in reconstructing the supply chain and providing appropriate decision support to against challenges from high variability and uncertainty. Realizing high-accuracy supply chain simulation will require integration of individual supply chain...
Modular methodologies and lambda calculus have garnered limited interest from both analysts and statisticians in the last several years. In this work, we verify the understanding of board general testing system based on PXI Bus, our new framework for general testing system, is the solution to all of these obstacles.
The structural behaviors of a sub-truss, typically used in a steel staggered-truss framing system (SSTFS), under fire conditions was studied comparatively using the finite element method with the solid element and beam element respectively. Both the internal force of structural members and the mechanical response behavior of joints at elevated temperature were investigated. And the reasonable computational...
Passenger traffic forecast is significant for the study of the change of passenger transport capacity. Forecasting passenger traffic scientifically is very important for decision-making of transportation development strategies. This paper analyzes the factors of passenger traffic, and describes the principle of the grey-Markov chain. Then we divide these factors into two categories: supply factors...
In e-commerce, the negotiation based on multi-agent has become an active field. This paper brings a new multi-agent auto negotiation model which is done using multi-agent system, fuzzy evaluation algorithm and game theory. Firstly, we design negotiation model; secondly, we analyze the flow; finally, we build a negotiation platform in according to combination with Web technique and jade. The model...
An overall-process settlement model, in which power function was introduced to simulate the compression settlement process, was set up in this paper, and its feasibility was verified based on experiment data. Then, the compression settlement velocity model was deduced by differentiate the compression settlement process model, based on which the relationship between the coefficient in the power function...
This study proposed a novel model of FCM based on activation. As for the causal inference process of a traditional FCM system, there exists the limitation of multiple computing. This paper presented an effective approach to address the problem that one node is multiple activated repeatedly. The proposed method will simplify the causal inference process and ensure the randomness and fuzziness of inference...
The methodology of developing fuzzy cognitive map (FCM) still exhibited weaknesses. This paper investigated a hybrid framework for learning FCM, which was combined of the real-coded genetic (RCGA) algorithm and nonlinear Hebbian learning (NHL) algorithm. This approach combined the synergistic theories of neural networks and fuzzy logic. The hybrid algorithm is introduced, presented and applied successfully...
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