The model of stock price forecast based on data mining of bp neural networks is put forward in this article. On the basis of an integrated data mining process of selection of data samples, data conversion, network mod...
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ISBN:
(纸本)9780769549231;9781467348935
The model of stock price forecast based on data mining of bp neural networks is put forward in this article. On the basis of an integrated data mining process of selection of data samples, data conversion, network modeling, network simulation, and evaluation of results, the prediction about the trend of SSE( Shanghai Stock Exchange) Composite Index provides a higher accuracy. It indicates that the use of data mining of bp neural network in the forecast of non-linear system has advantages, so will it provide a new idea for the forecast of non-linear system.
This paper took the example of rolling force prediction in the cold rolling process to describe the establishment and application of bp neural network prediction system. This system is a prediction model for generic p...
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ISBN:
(纸本)9783037856925
This paper took the example of rolling force prediction in the cold rolling process to describe the establishment and application of bp neural network prediction system. This system is a prediction model for generic process. Users can select different parameters to train the network structure according to their needs, and can calculate relative rolling force parameters based on the known structure. This system can provide very valuable process information for workers and researchers
bp artificial neural network(ANN) based on gradient algorithm method is widely applied, but because the error surface of object function is very complex and the choose of initial value effects network training results...
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ISBN:
(纸本)9783037857755
bp artificial neural network(ANN) based on gradient algorithm method is widely applied, but because the error surface of object function is very complex and the choose of initial value effects network training results, convergence rate is slow and local minimum is likely to fall into. Particle swarm optimization(PSO) algorithm has better global searching ability to get rid the puzzles of falling into local minimum. By adequately studying on the two algorithms' characteristics, a new type of combined ANN training method is put forward, and PSO-bp ann model is successfully built.
A fault diagnosis model with bp network for a certain hydraulic system were described. The realization process of the fault diagnosis based on the improved bp algorithm was discussed. According to the experiment, the ...
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ISBN:
(纸本)9781479913909
A fault diagnosis model with bp network for a certain hydraulic system were described. The realization process of the fault diagnosis based on the improved bp algorithm was discussed. According to the experiment, the improved bp network has better learning ability, higher convergence rate ability and higher stability of learning and memory. The diagnosis results indicate that the presented diagnosis method has higher reliability and can attain the expected results, which can be applied to fault diagnosis of hydraulic system.
The recursive compensatory fuzzy neural network model was established against the characteristics of temperature control for film laminating machine. The neural network can be used to construct the fuzzy system, and t...
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ISBN:
(纸本)9783037858431
The recursive compensatory fuzzy neural network model was established against the characteristics of temperature control for film laminating machine. The neural network can be used to construct the fuzzy system, and the self-adaptive and self-learning capability of neural networks was used to automatically adjust fuzzy system parameters, bp network could be learned and trained by the gradient descent algorithm. Based on the test data for the study and testing of network, system error is less than the national standard error requirements, the results proved the effectiveness and feasibility of the algorithm.
First, the paper anylizes the standard bp algorithm. Toward the limitation of the standard bp alogrithm, an improved bp alogrithm is obtained by modifying the action function, regulating the learning rate and choosing...
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ISBN:
(纸本)9780769536996
First, the paper anylizes the standard bp algorithm. Toward the limitation of the standard bp alogrithm, an improved bp alogrithm is obtained by modifying the action function, regulating the learning rate and choosing the initial weights. And then a recognition example about license plate recognition technology is given to prove the improved bp algorithm. From the exam results, the improved bp algorithm has some advantages in fast convergence speed, short recognition time and high recognition rate.
When using Neural Networks (NN) to handle class imbalance problems, there exists a fact that minority class makes less contribution to the error function than the majority class, so the network learned prefers to reco...
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ISBN:
(纸本)9783642033476
When using Neural Networks (NN) to handle class imbalance problems, there exists a fact that minority class makes less contribution to the error function than the majority class, so the network learned prefers to recognizing majority class data which we pay less attention to. This paper proposes a novel algorithm WNN (Weighted NN) to solve this problem using a newly defined error function in bp (bp) algorithm. Experimental results executed on 20 UCI datasets show that the approach can effectively enhance the recognition rate of minority class data.
First, the background, significance and general implementation of vehicle license plate recognition (VLPR) are introduced. Based on analyzing the theory of neural network pattern recognition system, toward the limitat...
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ISBN:
(纸本)9780769536156
First, the background, significance and general implementation of vehicle license plate recognition (VLPR) are introduced. Based on analyzing the theory of neural network pattern recognition system, toward the limitation of standard bp, this thesis offers its improved method and a real recognition example. Finally, conclusion on its characteristic is given. The improved bp algorithm had some advantages in reaching high error precision, fast convergence speed, short recognition time and high recognition rate.
In this paper a new neural network model with weight-function is proposed. In the model, the weight is a function with adjustable parameters, and the sum of these weight functions as the neuron output. And according t...
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ISBN:
(纸本)9780819495884
In this paper a new neural network model with weight-function is proposed. In the model, the weight is a function with adjustable parameters, and the sum of these weight functions as the neuron output. And according to bp algorithm, the learning algorithm of feed-forward neural network with weight-function neurons is studied. Simulation results show that, applying the back-propagation algorithm to the new neural network the better convergence rate can be obtained and in some applications the new neural network based on the weight-function neurons is superior to the bp network based on the MP neuron model, so that it has a significant value in further research and application.
The Luby Transform (LT) codes have been suggested as an efficient solution for multimedia communications over erasure packet network, and provide equal error protection (EEP) for all input symbols. However, for the pr...
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ISBN:
(纸本)9781467356978;9781467356992
The Luby Transform (LT) codes have been suggested as an efficient solution for multimedia communications over erasure packet network, and provide equal error protection (EEP) for all input symbols. However, for the progressive image transmission, the significant source bits are generally located ahead of the bit streams of the encoder output, which are more important for the reconstruction of the image. Therefore, the LT codes based on EEP (EEP-LT) scheme is not suitable for the progressive image transmission. In the paper, based on the LT codes, a novel unequal error protection (UEP) scheme is proposed for image transmission over multiple input multiple output (MIMO) channels, which is named UEP-LT scheme. Simulation results confirm the efficiency of the proposed scheme.
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