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For the research of Chinese word segmentation, the BP algorithm model has a lot of defects such as low convergent velocity, easily falling into local minimum, low velocity and efficiency. In this paper, we proposed a new particle swarm neural network algorithm (NPSO-BP), and used it in Chinese word segmentation. The results show that the speed of the segmentation algorithm is obviously faster than...
The number of patents applying is an important indicator of the technological level of a region. The most fundamental factor that influences the number of patents applying is the R&D input. With the Granger causality test, this study verified the causality between the R&D input and patent output in Hebei Province in the case of the full-time equivalent of R&D personnel with one year lag...
Modern golf presented in China has more than 20 years. With the rapid economic development and the growing number of golf enthusiasts prodded, the golf courses in China grow gradually, and the golf industrial-scale shapes preliminarily. Scientific forecast of the scale of golf courses has important significance for rational planning the development of golf industry. Based on the size of golf history...
This paper is concerned with designing a novel chaotic carrier, which has the advantages in low costs and the easy-to-design feature, suitable for the situations of high frequency, design flexibilities, and low cost requirements, to be embedded in a chaotic pulse width modulation (PWM) control for reducing electromagnetic interference (EMI) in DC-DC converters. Finally, simulations and experiments...
Exchange rates float with non-linear dependence and long-term memory characters, so we choose the neural network tool to forecast it. Based on the previous research work, we use two groups of data at different time-intervals to make forecasting experiments with homogenous neural network model and heterogeneous neural network model. According to the results of the experiments, we make a comparative...
With the rapid development of electronic technology, semiconductor section resistivity measurement is receiving increasing attention. This paper applies electrical impedance tomography (EIT) technology to semiconductor resistivity measurements. FEM is applied to solve the EIT forward problem. Mathematical description of partial differential equation, equivalent variation differential problem, element...
In the traditional flatness pattern recognition neural network, the topologic configurations need to be rebuilt with a changing width of cold strip. Furthermore, the large learn assignment, slow convergence, and local minimal in the network are observed. Moreover, going by the structure of the traditional neural network, according to experience, it has been proved that the model is time-consuming...
This paper investigates an intelligence realization of direct torque control(DTC) in permanent magnet synchronous motor(PMSM) drives. The scheme is based on fuzzy logic control(FLC) and probabilistic neural networks(PNN). The torque error and flux linkage error were all properly fuzzified into several subsets to select a middle state variable accurately, which is the linear function of flux linkage...
Automatic target recognition (ATR) of aircrafts using translation invariant features derived from high range resolution (HRR) profiles and multilayered neural network is presented in this paper. The HRR profile sequences are translation variant in the range resolution cell because of the non-cooperative target maneuvering. The differential power spectrum (DPS) is introduced to extract the translation...
A number of faulty sensors would lead to inaccuracy of event region detection and deterioration of network quality of service in wireless sensor networks. This paper proposed a distributed weighted fault-tolerant algorithm (DWFA) for nodes regular deployment and an optimal fault-tolerant mechanism based on weighted distance (WDOFM) for nodes irregular deployment. Both of them exploit spatial correlations...
It is a key problem to represent properly the knowledge in space decision support system. The knowledge has the character of multi-dimension, fuzzy and randomcity in uncertain problems on space decision. In order to improve the ability of dealing with uncertain problems in space decision support system the representation and induction based on cloud model is proposed in this article. Firstly the multi-dimension...
In order to improve the support ability of dealing with the complex decision problem, grey cloud model and intelligent decision support system (IDSS) based on grey cloud model is proposed. A new uncertain model, grey cloud model is proposed. Firstly the definition depiction of grey model is given. Then representation uncertain of knowledge based on grey cloud model in knowledge database is proposed...
In this paper, we use a previously developed nonlinear dynamic model of TCP to design active queue management (AQM) controllers based on improved neuron adaptive PID for network congestion control. We introduce new type of neural networks controller based on PSD (proportion, sum and differential) to improve the lack of fixed gain in single neuron adaptive PID. We give and compare the performances...
Remote control and monitoring are very necessary in decentralized manufacturing environments. This is evidenced by todaypsilas distributed shop floors where agility and responsiveness are required to maintain high productivity and flexibility. However, there exists a lack of an effective system architecture that integrates remote condition monitoring and control of automated equipment; that give much...
This paper presents a robust NN control scheme for diving behavior of an autonomous underwater vehicle (AUV) whose dynamics can be simplified as a second-order TITO (two-input-two-output) nonlinear function. Because of singularity problem, above dynamics can't be properly solved using general backstepping method although it is in a well known strict-feedback form. Furthermore, the dynamics is in an...
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