The BP Network
The Application of BP Neural Network in Leukocyte Classification Recognition
... neural network is the most widely used and most mature technology in artificial intelligence information fusion; classification recognition is one of the main ...layer BP neural network classifier is ...
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Design and implementation of wireless sensor network nodes based on BP neural network
... the BP network training requirements of learning efficiency is very small, so the gradient descent method to make the training is very ...neural network can be applied to the linear system and ...
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BP Neural Network based on PSO Algorithm for Temperature Characteristics of Gas Nanosensor
... the BP network based on PSO, the final number of the hidden layer is 5, so the BP structure of the two methods is ...the BP optimized using PSO achieve the optimal error at the iteration of 26 ...
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Gold Price Prediction Based on PCA GA BP Neural Network
... 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 neural ...
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Based on the BP Neural Network Optimization Application Research of the Construction Site
... 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 practical ...
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A Protein Secondary Structure Prediction Method Based on BP Neural Network
... for BP neural network, the input of the protein is the primary structure, the output is the type of the secondary ...three-layer BP neural network (Figure 1) is used as a classifier to predict ...
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Prediction of Solid Propellant Characteristic Signal Based on Improved BP Network
... the BP network, hidden layer node self-generating BP network, BP network adjustment method and the method proposed in this paper for comparison, verify it’s in overcoming the ...
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Predicting Software Quality by Optimized BP Network Based on PSO
... the BP network, here this paper predicts the object-oriented ...neural network of multiple input -multiple output can be divided into many neural networks of multiple input -one output, so the ...
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ANN Methods for COP Prediction of Supermarket Refrigeration System
... neural network model approximates the high nonlinear process with the smallest error, and its calculation speed is faster as ...the BP network model with higher ...neural network model has ...
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Fault Diagnosis of Electronic Circuits Based on Matlab
... using BP neural network trained by us is quite ...the BP neural network to predict the operation of the schematic, the output of its prediction results displayed in the MATLAB command ...the ...
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BP neural network based shot putters performance prediction research
... as BP algorithm samples, utilize BP algorithm to carry out corresponding correlation learning, its essence is a process that optimizes neural network weights, so we design program for shot putters’ ...
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Enterprise IT application evaluation based on BP neural network in Tianjin city
... IT plays an important role in enterprises development. This study, evaluating enterprisesIT application, solve the problems as follows: understand enterprises IT applying degree, identify main influence factors of IT ...
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Modelling and predicting of MODIS leaf area index time series based on a hybrid SARIMA and BP neural network method
... SARIMA, BP neural network and a hybrid method of SARIMA-BP neural network were used for modeling and predicting MODIS LAI time ...neural network combined both SARIMA and BP ...
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A Prediction Method of Charging Station Planning Based on BP Neural Network
... distribution network and EV charging stations simultaneously, a model to determine the site and capacity of DGs and EV charging stations, in which the minimum total cost, the lowest network loss and the ...
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The Application of Genetic Neural Network in Network Intrusion Detection
... Neural Network (ANN), often just called "neural network" (NN), is a mathematical model or computational model based on biological neural ...the network during the learning ...
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Reliability Prediction of Power Communication Network Based on BP Neural Network Optimized by Genetic Algorithm
... 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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A Trust Evaluation Model for Social Commerce Based on BP Neural Network
... and BP neural network evaluation method ...built network trust evaluation models of e-commerce based on P2P network and network security using cloud model theory [4] ...
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User-Online Load Movement Forecasting for Social Network Site Based on BP Artificial Neural Network
... Step4, the network is ready for simulation (working). In most practical problems, adopting one hidden layer is usually suggested [23] in building the ANN. Thus, to forecast the user-online load movement in the ...
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A novel model of ZigBee in wireless sensor network based on CMOS image sensor and BP neural network
... sensor network ZigBee micro array constructed using GSM (Global System for mobile communication) network, CDMA (code division multiple access) network, Ethernet to realize the transmission and ...
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Three-dimensional convolutional restricted Boltzmann machine for human behavior recognition from RGB-D video
... with significant effect in various fields, including target detection [8], activity recognition [3, 9], and natural lan- guage processing [10]. For example, Ji et al. [11] pro- posed a convolutional neural network ...
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