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Indicator diagram of shock absorber plays an important role in identifying whether it is qualified. At present, shape identification of the indicator diagram of shock absorber depends heavily on experience. The paper discusses the process BP neural network identify kinds of indicator diagrams of shock absorber, including the algorithm of BP neural network, the method of picking up characteristics...
In order to enhance the forecast precision of support cost in equipment life cycle cost (LCC), a forecasting model of weapon equipment is established based on the hybrid theory of Grey systems theory and neural network (NN). The support cost is estimated by making use of GM(0,N) model firstly, then the error of the estimating result is simulated and compensated by LMBP NN model. Finally, the validation...
The exploitation of coal seam gas is influenced by various geological factors. In order to study the weights of these factors, this paper establishes a BP neural network prediction model by taking No.3 coal seam in the representative area of southern Qinshui basin as an example. It finds out that the potential coal-seam gas capacity of southern area of Qinshui basin is influenced by some primary factors...
Mine ventilation resistance is decided to coefficient of frictional resistance. and it is very vital to airflow distribution of using air place, With the special conditions of roadways of I-beam supporting in the article, the coefficient of frictional resistance is calculated through an improved BP artificial neural network model, and the article analyses the difference between BP neural network calculation...
On the basis of analyzing the significance of assessing production and operation ability in small and medium enterprise (shorter form SMB), the assessment-index system of production and operation ability for small and medium enterprise is built and assessment model is established using BP neural network. The conjunction weights of the neural network are continuously modified layer by layer from output...
Considering that the neural network increases rapidly in complexity and is greatly extended in training time due to the gradually increasing input vectors, a fusion algorithm modified by rough set is proposed to preprocess the inputs before neural network. Firstly, the input sample space is reduced to obtain the new decision table according to attribute significance in rough set. Then the reduced...
The data mining technology is more and more widely used in the telecom industry. But telecom data set always includes instances with missing values. Besides, many data mining models are sensitive for the missing value and distortion. Estimating missing values becomes an inherent problem. To address the problem, A prediction method is proposed for the missing value based on the BP neural network and...
Firstly the function of principal component analysis (PCA)and back propagation(BP) neural network are analyzed in this paper, the fusion method of PCA and BP neural network is proposed for face representation and recognition. Experiments are done on ORL face databases and compare the average recognition rate and training time. Experimental results show that the method achieves the higher recognition...
Based on image recognition of coal particles, taking red average, green average, blue average, brightness average, saturation average, chroma average, mean value of gray scale, contrast ratio, and correlation as the input vectors, and using the BP neural network, this paper study on the prediction of coal ash. After establishing the network and training the experimental data in it, the network is...
The functions of the available network fault management system are imperfect, with relatively poor comprehensiveness, flexibility and intelligence. This paper designs the dynamic distributed architecture of network fault management system, evenly assigning fault management tasks to each domain manager by BP neural network algorithm. In order to intelligently diagnose the fault events as quickly as...
In view that the efficiency of computer forensics technology is insufficient and some other problems at present, a computer dynamic forensics method has been proposed based on BP neural network. This method has combined the advantages of artificial neural network in pattern recognition which can timely and accurately identify the network attack behaviors. On this basis, a prototype system with dynamic...
Based on layered elastic theory, the compressive strains at the top of subgrade were predicted using BP neural network. According to the types of pavement structure in common use, the database of surface deflections with their corresponding structural parameters based on layered elastic theory was established. BP neural network was developed using the established database and was used to predict the...
This paper takes the Nenjiang river continuous girder bridge as an example to discuss a method of carrying out predictive analysis on deflection in different construction stages by means of Aritificial neural network technology. Based on the foundation of finite element model, training samples for RBF network are obtained. BP and RBF neural network are used to forecast the deflection of bridge girder...
By analysis of back propagation (BP) neutral network model structure and Tianjin Binhai new area non-point source COD pollution load (1997–2008), the paper established the BP neutral network of input layer neuron number 7, hidden layer neuron number 19, and output layer neuron number 1 to simulate COD pollution load. The result shows that mean error is 0.284% when the precision is 0.001 and hidden...
Based on the analysis of driving forces of urban land expansion by Principal component analysis (PCA), this paper established a predicting model of urban built-up area for future by using socio-economical data. Being good at the performance of nonlinear approximation, artificial neural network (ANN), especially the back propagation algorithm (BP), is applied in the prediction of bulit-up land and...
A new BP neural network is introduced and at the same time, its' structure, feature and principium are also expatiated. In order to approach compensate the effects of improves non-linearity, a BP neural network model is set up and trained in this paper. The test result indicates that: this method is practical and dependable in the field of salinity modeling, has a good applied foreground.
Chinese character recognition is integrated technology that is related to pattern recognition, artificial intelligence, fuzzy mathematics, information theory, computer science and so on. Currently a lot of researches focused on the Chinese character recognition have been done, however, the results are still not very satisfactory. In this paper, A new recognition method is put forward based on the...
The structure, function and core part of the mine wind pressure monitoring and alarming system based on BP was introduced in this paper. This system runs stably and reliably, and plays an important role in the safety of coal mining.
A sales forecast model was designed based on BP (Back Propagation) neural network. The selection of network types, the determination of structural parameters, the processing of the network input and output data and other issues are also discussed. Experimental results show that the BP algorithm is applied to predict the contents of unknowing rules; it has higher accuracy and better predictive ability...
Credit assessment of corporation borrower is the main means to control credit risk and asset risk management for commercial bank. The parameters of Logistic default model for the listed company's credit risk assessment are represented the state space form, Then the parameters are estimated by Kalman filter. The results show that the Kalman filter model can be obtained optimum results compared with...
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