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We propose in this letter two new subspace learning methods, called nearest feature space analysis (NFSA) and discriminant nearest feature space analysis (DNFSA), for pattern classification. While many subspace learning algorithms have been proposed in recent years, most of them apply the conventional nearest neighbor (NN) metric to derive the subspace and may not effectively characterize the geometrical...
In this paper we present an artificial neural network based motion and path planning system of a wheeled mobile robot navigating among stationary and moving obstacles. The neural network is aware of its distance sensor readings and its relative position from the target. The neural network is used in this system as a controller, and it is trained using a previously proposed extension of the backpropagation...
In order to study the impact of drivers' distance cognition difference on traffic safety in dynamic environment of daytime and night-time, a real road tests was carried out by asking 19 drivers randomly selected to percept the distances of obstacles with different distances and velocities on daytime and nighttime. The values of cognition are obtained by statistical methods. The distance cognition...
Water resources sustainable use evaluation plays an important role in water resources planning and management, and it is a typical multi-goals, multi-layers and multi-attributes decision-making process, it needs to consider comprehensively social, economic, resources and environmental factors. A new evaluation index system of water resources sustainable utilization has been set up based on Yunnan...
In this paper, based on investigating and analyzing on the affecting factors for support type of development roadways as well as the successful support cases in Chengchao Iron mine, the improved BP neural network is put forward to study on the support type of development roadways. It may be seen from the learning course of learning samples and the prediction results of support types that whether the...
It has been 50 years since the idea popped up that calculating systems can be made on the replica of the biological neural networks. Still, the development of this science branch made the improvement of these systems possible only in the last 25-30 years. Nowadays, neural computing is a very extensive, separate science. Its solid theory basis made it possible to use them to solve many kind of problems...
Data mining is a technology in data analysis with rising application in sports. Basketball is one of most popular sports. Due to its dynamics, a large number of events happen during a game. Basketball statisticians have task to note as many of these events as possible, in order to provide their analysis. In this paper, we used data from the First B basketball league for men in Serbia, for seasons...
Evaluating road safety is essential in identifying the potential road safety hazard which could result in casualties and property losses. in this paper, a BP neural network was built by using neural network toolkit in "Matlab", Two similar roadways are used in calibrating and validating the network. The high level of predictability provided that the application of BP neural network model...
It is very important to forecast the ice thickness of Transmission Line for the safe operation of transmission network. The author had introduced artificial neural network(ANN) to the prediction of the ice thickness of transmission line, and proposed a predictive model based on GA and BP addresses on the defects of BP network includes slow convergence and easiness of running to local minimum, and...
In this paper, through combining information diffusion principle and BP neural network theory, a new prediction model of drought disaster assessment is established. First, the original data are fuzzily processed based on information diffusion method, then a new training sample is formed; second, the new sample is used to design and train BP neural network; finally, the trained fuzzy neural network...
This paper innovatively proposes a hybrid intelligent system combining fuzzy comprehensive assessment approach and artificial neural network (ANN) that predicts the safety performance of construction site for breaking through the limitations of conventional method. And also inducts the sensibility analysis to discriminate the importance of each index in the assessment index system. The effectiveness...
Gas filow-volume controlled by many factors, the trend is complex, the accurate mathematical model to predict, in view of this situation, the paper attempts to grey dynamic model based on artificial neural network, organic combination of intelligent analysis method, structural gray neural network combination forecast model, based on Visual Basic 6.0, meanwhile, corresponding calculation program is...
Data mining technique is an effective tool used to obtain desired knowledge from massive data. Neural network is a new method in the application of data mining. Although it may have shortcomings of complex structure, long training time and uneasily understandable representation of results, neural network has high accuracy which is superior to other methods and this makes it more available in data...
For the current problems in the security situation of colliery equipment ,and based on non-linear relationship among the parameters of colliery equipment ,this paper presents a method for forecasting the safety of colliery equipment based on BP neural network.By using BP neural network in the colliery safety equipment monitoring and warning issues,we established a multi-index comprehensive monitoring...
The drilling of hard-to-cut high manganese steel materials is a difficulty in the field of machining. Research method for drilling temperature which has been commonly used is experimental method. The method has long-time and the high-cost drawbacks. Adopting error back neural network technology and using Matlab and C language programming method, in this paper neural network prediction model of drilling...
At present, the determining method on feature weight have the problems of complexity and one-sidedness of determining in case-based reasoning system. In this paper, an integrated method based on BP Neural Network and sensitivity analysis is studied. An algorithm based on BP Neural Network and sensitivity analysis (BPNN-SA) is put forward, the network topology changes in accordance with input nodes...
This article directs at coal manufacturing cost factors applying support vector machine (SVM) theory, it establishes forecasting model of coal manufacturing cost using wavelet neural network after reducting attribute of influence factors, in order to forecast the coal manufacturing cost effectively.
In this paper, an intrusion detection model is proposed based on multilayer perceptrons neural network . In this model, HISTORY is used to collect data. Then, the data stream is converted its' data structure for preprocessing. We use pattern matching module to filter out some of the known intrusions, in oder to reduce the load of the next step on intrusion detection, and the efficiency and accuracy...
Based on the analysis of the importance of project termination decision and the review of related research, this paper constructs an R&D project termination decision model based on Kohonen neural network consisting of the principles of a system of evaluation indexes, the quantification of eigenvalues of the evaluating indexes, the basic principle of Kohonen and the establishment and application...
A novel neural network, retina neural network (RNN) is put forward, and its definition, network structure, parameters, and characteristic are presented. After training it using a set of samples, an ideal training waveform is obtained, which is a great guide for future research. Moreover, a model of permanent magnet synchronous motor (PMSM) PI controller is constructed based on RNN to test drive performances...
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