... of **neural** networks, adaptability, strong associative memory, self-discovery rules and other correspondence between the data advantages, proposed a **BP** **neural** **network** method of evaluation of ...

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... **BP** **network** model of artificial **neural** **network** in the function approximation, pattern recognition and other fields has been widely used, but when using **neural** **network** to solve ...

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... the **BP** **neural** **network** model to predict railway passenger ...into **BP** **neural** **network** for prediction, then obtain the railway passenger volume of the corresponding year, and the ...

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... communication **network** is a communication **network** which serves the power ...communication **network**. However, the current research on the power communication **network** lag, the reliability of the ...

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... propagation **neural** **network** is widely used in pattern ...Propagation **neural** **network** with three layers can solve arbitrary ...[11]. **BP** **neural** **network** is a teacher training ...

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... From Fig.4 and Fig.5, as for the R value and G value, the prediction of SVM model and **BP** **neural** **network** model is good. However, neither SVM nor **BP** **neural** **network** prediction on B ...

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... there is a **BP** **neural** **network** which can approximate to g by an arbitrary accuracy. In other words, with any given set of training samples, assuming the set of input signals is X and the set of output ...

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... In this paper, we propose a prediction method based on sliding window, encoding methods and **BP** **neural** **network**. We select representative low-similarity datasets, make tests on different window sizes ...

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... DOI: 10.4236/jcc.2019.77018 230 Journal of Computer and Communications which we can get a training set. Through **BP** **neural** **network** training, an electric vehicle charging station planning model is ...

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... using **BP** **neural** **network** method to analyze the impact factors of ITapplyingin enterprises, attempts to provide reasonable suggestions of promoting application of IT; on the other hand, 15 companies in ...

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... needs **BP** **neural** **network** model to explore their mutual relations, so it forms into **neural** **network** model, after relative training, only input sports performance prediction into the ...

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... The research on social commerce trust mostly includes the formation mechanism and the influence factors of establishing consumersâ€™ trust. Trust in these studies is deemed as a potential variable to measure consumer ...

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... and **BP** **neural** net- work. PCA can simplify the **network** structure and reduce the dimension of in- put ...the **BP** **neural** **network**, and overcomes the shortcoming that the **BP** ...

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... Multiple **BP** (Back Propagation) **neural** **network** calculation, predicted value set processing, event impact index algorithm, ...PCA-**BP** **neural** **network** to fit the function relation ...

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... This paper divided Chinese manufacturing listed enterprises into six innova- tion persistence patterns according to the innovation persistence and owner- ship structure, and identified these six patterns by constructing ...

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... of **BP** **neural** **network** has the following characteristics: information distributed ...the **BP** **neural** **network** to simulate the human this characteristic, the information in the form of ...

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... layer **network** and nonlinear differentiable transfer ...a **network** until it can approximate a function, associate input vectors with specific output vectors, or classify input vectors in an appropriate way as ...

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... for **BP** **neural** **network**, whose horizontal coordinates and longitudinal coordinates respectively represents the number of predictive samples and angle values of human ...simple **BP** **neural** ...

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... and **BP** **neural** **network** was established, using MATLAB to emulation; the results showed that: PSO-**BP** **neural** **network** algorithm was feasible in the fault prediction of the elevator ...

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... 7-6-1 **neural** **network** structure is adopted, The difference between the predicted value and the test value is smaller than the difference between the heating load forecast in days, and the prediction accuracy ...

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