BP Network
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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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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An incremental learning algorithm for the hybrid RBF BP network classifier
... All of the algorithms for training SLFNs consist of two stages: (1) suitable feature mapping and (2) out- put weight adjustment. To train SLFNs efficiently, in this paper, a potential function is introduced in the ...
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ANN Methods for COP Prediction of Supermarket Refrigeration System
... The BP neural network and RBF neural network were trained respectively, and genetic algorithm was used to optimize the BP network ...both BP neural network and RBF neural ...
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Application of BP neural network in predicting the cement materials performance
... a network modelwith one single output for one performance of the materials [7~8] ...improved BP network standard algorithm [8] . The improved network is of stronger mapping capabilities, ...
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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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Research on Financial Early Warning of Listed Corporation Based on SOM Fusion BP Neural Network
... Combining with the special environment of Chinese market, this paper defines the listed Corpora- tion’s financial crisis, and analyzes the shortcomings of the existing financial early warning model. In order to further ...
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Design and implementation of wireless sensor network nodes based on BP neural network
... The BP network is simple, so it has been widely applied in ...system, BP network as a neuron control parts, can be used for device control system or information flow control ...system. ...
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Design of intelligent sensor based on BP neural network and ZigBee wireless sensor network
... on BP neural network and ZigBee Wireless Sensor ...stack. BP network can learn and store a lot of input - output model mapping, without prior to reveal the mathematical equations describing ...
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Evaluation of quality of teaching based on BP neural network
... neural network is a one-way transmission of multi-layer forward network, including the input layer, middle layer (hidden layer) and output ...by: BP network except the input and output layer, ...
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The Application of BP Neural Network in Leukocyte Classification Recognition
... of network layers. The error of BP neural network is transmitted from the output layer to the input layer, the more layers, the more unreliable of the input layer, with the increase of the hidden ...
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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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Oil Price Forecasting Based on EMD and BP AdaBoost Neural Network
... the BP neural network is set to ...training network, the test sample prediction sequence output is obtained, and the test sample weight value is updated ac- cording to the output result, and the ...
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Diagnosis System for Alumina Reduction Based on BP Neural Network
... Neurons at the input layer are determined by the dimensions of input characteristic vectors. By reference of the discussion above, the dimensions are 10. That is to say the nodes are also 10. Neural nodes at the output ...
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The Application of Genetic Neural Network in Network Intrusion Detection
... of network security technology which can actively protect your computer from intruders’ ...to network security administrators, which can allow administrators to take certain preventive or remedial measures ...
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Predicting stock price based on BP neural network model
... The determination of input and output nodes of the neural network. Considering the actual stock situation, it is reasonable to think that the recent trading data have a more significant im- pact on the future than ...
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Reliability Prediction of Power Communication Network Based on BP Neural Network Optimized by Genetic Algorithm
... . The fitness function uses the sorted fitness function, where obj is the output of the objective function. c. Selection, crossover and mutation. The crossover operator adopts the single-point crossover operator to ...
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A Trust Evaluation Model for Social Commerce Based on BP Neural Network
... There are 12 nodes in the input layer corresponding to the users’ score for 12 indica- tors. A comprehensive trust evaluation value, which is expressed as one node in the output layer, will be computed according to the ...
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Enterprise IT application evaluation based on BP neural network in Tianjin city
... 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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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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