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This thesis presents a BP Artificial neural network prediction modeling method for forecasting the trend of Shanghai index, and then uses the genetic algorithm to optimize the BP network parameters, weight and structure. The forecasting results show that the optimization algorithm not only avoids BP algorithm into a local minimum point and the problems of slow convergence, but also overcome the GA...
The study of early intelligent obstacle diagnosis for large-sized mechanical equipment is of momentous social significance and far-reaching economic importance. The equipment directly influences production safety for enterprises, and concern economic efficiencies. So it is very important for the induction motor to guarantee non-failure work time and the whole cutting process without fault. The early-term...
In this paper, the development process of XD® series adsorbent is briefly introduced, the distinction is characterized between different adsorbent; explored the use of adsorbent and sorption properties; found the relationship between its physical-chemical properties and its regenerative properties in electric oil; expound the superior performance on transformer oil regeneration; finally introduce...
It makes diagnosis of induce motor very complex that itpsilas fault omens and feature is non-linear. It is more difficult to get earlier period fault information and realize function reflection between information and running state. As the knowledge limitation and parameter change in running of induce motor, the gray prediction combined with the nerve network is used to predict feature parameter and...
Binary translation offers solutions for automatically converting executable code to run on new architectures without recompiling the source code, and is very useful for supporting heterogeneous software. Since the binary translation process may consume many computation and memory resources and the thin client is a limited resource device, directly using ported traditional binary translation tools...
Wireless body sensor network is employed into the coal mine rescue system. We present a multi-objective optimization methodology for self-organizing, adaptive wireless sensor network design and energy management, taking into consideration application-specific requirements, communication constraints and energy-conservation characteristics. We use genetic algorithm as the optimization tool. Simulation...
We utilize new performance criteria to evaluate performance of orthogonal frequency division multiplexing (OFDM) and single carrier modulation with frequency-domain equalization (SC-FDE), which is described as the required ratio of average transmitted energy per bit to power spectral density of noise at a certain bit error rate (BER). The criteria takes not only received BER performance into account,...
Construction enterprises are affected by various risk factors. To awaken the consciousness of the risks management, and to enhance the mechanism, techniques and skills of construction projectspsila risk management in China, This paper present an integrated risk management model. It consists of three modules named as risk mechanism, quantification analysis system and optimizing decision-making. Risk...
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