... of neural networks, adaptability, strong associative memory, self-discovery rules and other correspondence between the data advantages, proposed a BPneuralnetwork method of evaluation of ...
... BPnetwork model of artificial neuralnetwork in the function approximation, pattern recognition and other fields has been widely used, but when using neuralnetwork to solve ...
... the BPneuralnetwork model to predict railway passenger ...into BPneuralnetwork for prediction, then obtain the railway passenger volume of the corresponding year, and the ...
... 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 ...
... propagation neuralnetwork is widely used in pattern ...Propagation neuralnetwork with three layers can solve arbitrary ...[11]. BPneuralnetwork is a teacher training ...
... From Fig.4 and Fig.5, as for the R value and G value, the prediction of SVM model and BPneuralnetwork model is good. However, neither SVM nor BPneuralnetwork prediction on B ...
... there is a BPneuralnetwork 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 ...
... In this paper, we propose a prediction method based on sliding window, encoding methods and BPneuralnetwork. We select representative low-similarity datasets, make tests on different window sizes ...
... DOI: 10.4236/jcc.2019.77018 230 Journal of Computer and Communications which we can get a training set. Through BPneuralnetwork training, an electric vehicle charging station planning model is ...
... using BPneuralnetwork 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 ...
... needs BPneuralnetwork model to explore their mutual relations, so it forms into neuralnetwork model, after relative training, only input sports performance prediction into the ...
... The research on social commerce trust mostly includes the formation mechanism and the influence factors of establishing consumers’ trust. Trust in these studies is deemed as a potential variable to measure consumer ...
... and BPneural net- work. PCA can simplify the network structure and reduce the dimension of in- put ...the BPneuralnetwork, and overcomes the shortcoming that the BP ...
... Multiple BP (Back Propagation) neuralnetwork calculation, predicted value set processing, event impact index algorithm, ...PCA-BPneuralnetwork to fit the function relation ...
... 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 ...
... of BPneuralnetwork has the following characteristics: information distributed ...the BPneuralnetwork to simulate the human this characteristic, the information in the form of ...
... 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 ...
... for BPneuralnetwork, whose horizontal coordinates and longitudinal coordinates respectively represents the number of predictive samples and angle values of human ...simple BPneural ...
... and BPneuralnetwork was established, using MATLAB to emulation; the results showed that: PSO-BPneuralnetwork algorithm was feasible in the fault prediction of the elevator ...
... 7-6-1 neuralnetwork 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 ...