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Travel activities have been widely applied to quantify spatial interactions between places, regions, and nations. In this paper, we model the spatial connectivities between 652 Traffic Analysis Zones (TAZs) in Beijing by a taxi OD dataset. First, we unveil the gravitational structure of intra-urban spatial connectivities of Beijing. Overall, the inter-TAZ interactions are well governed by the Gravity...
Dual-stage lithography machine is still in the prototype development stage and it is meaningful to study its reliability. Since this kind of machine is very stable, there are not enough failure data and adequate available samples for us during the analysis process. Considering these factors, this paper will take advantage of similar equipment method and neural network to predict the reliability of...
The crowning objective of this research are to analyze precipitation character of Cb for different dynamical characters in Huai river basin(HRB) with China's first operational geostationary meteorological satellite FengYun-2C (FY-2C) data. Firstly, 5 cloud patch dynamic parameters with respect to life stage and moving parameters are derived based on the Cb tracking method the author has proposed by...
Initial parameters are the main influence factors of training time in a specific artificial neural network (ANN) model of which the structure has been determined. Under the background of long-term reservoir operation of The Three Gorges, Back Propagation (BP) ANN models were built to obtain optimal operation rules. Simulation experiments were carried out to compare the difference of training times...
Cooperative active safety applications in WAVE employ periodic beacon broadcasting for status advertisement. High beacon rate enables each vehicle sense the traffic situation from its vicinity promptly. This timely information may assist the driver for safer driving experience. However, high beacon rate will congest the wireless medium due to the contention-based IEEE 802.11p MAC. In this paper, an...
Combining neural networks and fuzzy systems is a great tool for modeling nonlinear systems. Few researches have presented useful or practical results on the case of lack of data, which does not provide necessary information for training the model. In this paper, we proposed a new modeling idea based on nonparametric regression, which provide us prior information for constructing the fuzzy system....
Collecting individual activity data is increasingly more challenging for researchers because of low response rate and high respondent burden. In this paper, we combine two mobile positioning technologies with a Remind Recall approach for individual activity data collection in a large city. When the users are outdoor, the phone's GPS receivers will automatically track the users' trajectories while...
The choice and definition of the parameters of PED are very difficult for a long time in wind turbine, due to techniques parameters hold many characteristics of non-line and time-change. Based on control principle for fuzzy theory and biology immunoreactions, and the characteristic of multiple input and output variables found in wind turbine control system and dynamic relationship between them, put...
It is important to detect defects in wood, when it reduce the performance. The data and signal processing technology providing researchers with more damage identification problem solution ideas and methods. This article explore the wavelet analysis and artificial neural network for the wood defects based on non-destructive testing, and build an artificial neural network model for wood non-destructive...
In this paper, a novel approach for neural network ensemble called Simple Ensemble of Extreme Learning Machine (SE-ELM) is proposed. It is proved theoretically in this study that the generalization ability of an ensemble is determined by the diversity of its components' output space. Therefore SE-ELM regards the diversity of components' output space as a target during the training process. In the...
This paper researches on the issue of computer recognition to the handwritten character images, including lowercase letters and Arabic numerals. In this paper, we preprocess on characters in order to unified the basic features. And then, we apply the basic method of making the grids to extract the features of character, and classify the respectives. At last, we apply the latest heuristic modifications...
Since digital implementation of repetitive controllers is simpler than analog in many industrial applications, some design criteria for a discrete-time repetitive controller to suppress periodic disturbances within a specified frequency range are presented. The small gain theorem is applied to perform the controller design for system stability. Upper and lower bounds of the discrete-time repetitive...
With the increase of the training set??s size, the efficiency of support vector machine (SVM) classifier will be confined. To solve such a problem, a novel pre-extracting method for SVM classification is proposed in this paper. In SVM classification, only support vectors (SVs) have significant influence on the optimization result. We adopt a non-parametric k-NN rule called relative neighborhood graph...
The paper discusses a new fuzzy neural network controller in PCR reactor. By tuning the three parameters KP, KI, KD on line, the new fuzzy neural network controller has better response rate and stability property than the general PID controller. The experiment indicates that the controller gets the idea result.
GPS has been broadly applied in every fields of our social life, since the environment around us has been becoming more and more complicated, satellite navigation positioning technology under severe geometry, weather and jamming conditions gains more and more attention. However, It is well known that the GPS satellite navigation system lacks vertical information, which results in poor vertical accuracy...
In order to improve intellectuality and performability of computer-aided process planning system, the status and capability of manufacturing resource in the job-shop should be considered, and the sequencing decision of process plans should be realized under the relevant constraints. In this paper, BP neural network was applied to select the manufacturing resources in the process of generating process...
Based on integrated control for underactuated ship linear track keeping and main diesel engine, A new integrated control arithmetic designed by the linear parameter varying (LPV) system control theory and the closed system poles assigned via state feedback is proposed. The ship motion equations of the MMG model is translated into LPV systems with ship speed as the scheduling parameter. The main engine...
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