BP algorithm
PSO BP algorithm implementation for material surface image identification
... (PSO-BP) algorithm. Before the system classified the data using PSO-BP algorithm, the photographic images of room surfaces need to be extracted using Gray Level Co-occurrence Matrix (GLCM) and ...
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Reliability Measurement in A Multi-path Transmission Network using SMP-BP Algorithm
... SMP-BP algorithm to improve the network reliability un- der the situation of one transmission path ...proposed algorithm has a better network reliability compared with existing DMP-BP ...
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Dynamic Performance Of Dstatcom Using Bp Algorithm Under Nonlinear Loads
... The control of power quality devices by neural network is a latest research area in the field of power engineering. The extraction of harmonic components decides the performance of compensating devices. The BP ...
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An Optimized BP Algorithm Based on PLS
... the BP algorithm is powerless, when in the face of singular sample data, which with high characteristic dimensional and small sample ...optimized BP neural network algorithm based on the ...
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A Novel Approach for FEC Decoding Based On the BP Algorithm in LTE and Wimax Systems
... the BP algorithm was demonstrated. Using this algorithm to decode the tailbiting convolutional code in WiMAX systems speeds up the error correction convergence and reduces the decoding computational ...
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Improved Belief Propagation by Employing the Positive Effects of the Feedback Messages
... (BP) algorithm is shown to have the best ...the BP algorithm on cycle-free Tanner graph converges to the optimal solution but requires large computational ...with BP decoding ...
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Mill Load Control System Based on the Improved Ant Colony Neural Network
... control algorithm with a quick convergence rate was ...this algorithm was also verified by simulation ...colony algorithm has faster convergence speed and better generalization ability than the ...
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Gold Price Prediction Based on PCA GA BP Neural Network
... a BP neural network model based on principal component analysis (PCA) and genetic algorithm (GA) was proposed for the short-term prediction of gold ...price. BP could establish the gold price fore- ...
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NEW MODEL TRANSFORMATION USING REQUIREMENT TRACEBILITY FROM REQUIREMENT TO UML BEHAVIORAL DESIGN
... decoding algorithm is a high-performance low-density parity-check (LDPC) code decoding algorithm, but because of its high complexity, it can’t be applied to the high-speed communications ...a BP ...
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Optimal Parameter Selection Using Three-term Back Propagation Algorithm for Data Classification
... (BP) algorithm is the most popular supervised learning method for multi-layered feed forward Neural ...popularity, BP is still known for some major drawbacks such as easily getting stuck in local ...
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Bat BP: a new bat based back propagation algorithm for efficient data classification
... used algorithm, BPNN is known to be able to train Artificial Neural Networks (ANN) ...Bat-BP algorithm is proposed to train BPNN in order to achieve fast convergence rate and enhanced ...
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A fast approximation for 1-D inversion of transient electromagnetic data by using a back propagation neural network and improved particle swarm optimization
... the BP neural network has a high self-learning and self-adaptation ...the BP algorithm can approximate any nonlinear continuous function with arbitrary precision, which means it has a strong ...
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An improved BP neural network algorithm for competitive sports evaluation
... network, BP neural network accelerates the development in this ...as BP Neural Network theory today. BP neural network has integrated system, explicit algorithmic process, data identification and ...
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Optimizing Back Propagation using PSO Hill A* and Genetic Algorithm
... genetic algorithm (GA) and particle swarm optimization (PSO) techniques emerged as promising algorithms for handling optimization ...propagation(BP) algorithm [2], Genetic Algorithm (GA) [2, ...
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CNC Thermal Compensation Based on Mind Evolutionary Algorithm Optimized BP Neural Network
... genetic algorithm, as well as the slow speed of the training speed of the particle algorithm, a kind of Mind Evolutionary Algo- rithm optimized BP neural network featuring extremely strong global ...
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BP neural network based sports performance prediction model applied research
... construct BP neural network model, carry out specific application and verification on the model, and research on ...that BP neural network can be used for sports performance predicting, so neural network ...
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Abnormal Data Screening Method of Thermal Power Based on BP Neural Network Algorithm
... considered that per carbon emission is relatively stable value with a random fluctuation, both stable value and amplitude which is calculated by the test value minus stable value are vary with time of changing gas ...
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Robot football goalkeeper speed control research based on BP neural network algorithm
... build BP neural network non-physical no linear model on the basis of speed theory analysis, get evident better than geometric calculation speed control, provide model base and theoretical evidence for perfecting ...
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Simulation Analysis of Multiple BP Decoding Algorithm and FFT BP Decoding Algorithm
... At present, the practical implementation of multi-band LDPC code coding struc- ture is no longer difficult, but the multi-band LDPC decoding of the highly com- plex problem has not been a very good solution. Davey and ...
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Cooperative Co-Evolving Neural Networks for Robosoccer Simulation
... new algorithm allows for separate populations of weights and structures of neural networks to coexist and cooperatively evolve thru two separate genetic ...proposed algorithm is simulated in RoboSoccer ...
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