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检索条件"主题词=Bp algorithm"

共 415 条记录，以下是381-390 订阅

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A Low-Complexity Decoding algorithm for RA Code with Chebyshev Polynomial Fitting

A Low-Complexity Decoding Algorithm for RA Code with Chebysh...

引用

2010 3rd IEEE International Conference on Computer Science and Information Technology—ICCSIT 2010

作者： Lei Li, Qin Wang, Li Xu School of Information Engineering University of Science and Technology Beijing Beijing, China

RA (Repeat Accumulate) code has been widely used in wireless communication systems. But the bp (Belief Propagation) decoding algorithm which is commonly used in RA Code has high complexity. In order to reduce the complexity of bp algorithm while maintaining coding performance, we proposed Chebyshev-Polynomial-Fitting based bp (CPF-bp) decoding algorithm. In CPF-bp decoding algorithm, we used polynomial which is generated by chebyshev fitting algorithm instead of hyperbolic tangent operation in bp decoding algorithm to reduce the implementation complexity. Experiment and simulation results show that this low-complexity algorithm removes hyperbolic tangent operation in conventional bp algorithm with same amount of multiplier under the parameters setting in the paper. The performance degradation of CPF-bp algorithm is negligible which is less than 0.6dB at BER of 4 10 compared with conventional bp algorithm.

关键词： Repeat Accumulate Code Polynomial Fitting Chebyshev bp algorithm

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Application of Artificial Intelligence in the Logistics Enterprise Performance Evaluation

Application of Artificial Intelligence in the Logistics Ente...

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2010 Second ETP/IITA World Congress in Applied Computing, Computer Science, and Computer Engineering(ACC 2010)

作者： CHENG-DONG SHI , DUN-XIN BIAN School of Electrical and Electronic Engineering, Shandong University of Technology Zibo,255091 CHINA

In order to evaluate the performance of the logistics enterprise scientifically, and by using of advantage of artificial intelligence (bp neural network) with self-organizing, self-learning, anti-interference, etc., a performance evaluation model of logistics enterprise was established. Then the step of the model was introduced in detail, bp neural network was constructed and bp algorithm was designed. Finally, an example was given for testing the effectiveness and feasibility of the model, the example shows that the evaluation results are basically consistent with the actual situation.

关键词： logistics enterprise performance evaluation bp neural network bp algorithm

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Application of Neural Network in Predication Model of Flotation Indicators

Application of Neural Network in Predication Model of Flotat...

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2011 3rd IEEE International Conference on Computer Research and Development (ICCRD 2011)(2011第三届计算机研究与发展国际会议)

作者： Yanqiong Tu Guanghua Ai Xiuxiang Tao Wangsheng Fang School of Information Engineering Jiangxi University of Science and Technology Ganzhou China School of Resources and Environmental Engineering Jiangxi University of Science and Technology Ganzh School of Chemical Engineering and Technology China University of Mining and Technology Xuzhou China School of Information Engineering Jiangxi University of Science and Technology Ganzhou JiangxiChina

ISBN: (纸本)9781612848396

According to the floatation processing characteristic with time-variation, uncertainty and complicated nonlinear relations, a prediction method of concentrate grade and prediction model of ore dressing date is proposed. This article establish a prediction model of ore dressing date based on Jordan neural network including input of influence factors and dynamic time sequence feedback of concentrate grade, by combining bp algorithm with the temporal difference methods. The results applied in industry indicate that predictive precision is high, error is small, and stability is high. It has practical value, the application is successful.

关键词： Neural network Prediction model Ore dressing date bp algorithm TD method

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CONSTRUCTION AND APPLICATION OF PSO NEURAL NETWORK FOR PERSONAL CREDIT SCORING

CONSTRUCTION AND APPLICATION OF PSO NEURAL NETWORK FOR PERSO...

引用

2007中国宁波国际计算机科学与技术学术大会

作者： Minghui Jiang Xuchuan Yuan School of Management Harbin Institute of Technology

Personal credit scoring plays an important role in keeping away from credit risks in consumer credit market of commercial *** to the insufficiency of bp neural network,this paper constructs a PSO neural network model for personal credit scoring by using PSO to train the network's *** with bp network,PSO network gets higher classification accuracy in testing samples and shows stronger ***'s more,PSO network is more applicable for personal credit scoring in a dynamic credit environment.

关键词： Personal credit scoring Neural network Particle swarm optimization bp algorithm

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Simulation-Based Validation of Improved bp-Based Decoding algorithms of LDPC Codes

Simulation-Based Validation of Improved BP-Based Decoding Al...

引用

3rd International Symposium on Communications, Control, and Signal Processing (ISCCSP 2008), vol.1

作者： Manel Abdelhedi Fethi Tlili Larbi Ben Hadj Slama SYSCOM Laboratory ENIT Tunis Tunisia CIRTA'COM Laboratory SUP'COM Tunisia

Low-density parity-check (LDPC) codes deliver very good performance when decoded with the bp algorithm. Unfortunately, this algorithm has the disadvantage to be complex for implementation. In this paper, we investigate the bp algorithm and its simplifications (bp-Based, normalized bp-Based, offset bp-Based). Previous works on normalized and offset bp-Based proposed theoretical values for the offset and normalization factors, we perform simulations which allow to validate these theoretical results.

关键词： LDPC codes bp algorithm bp-Based algorithm Normalized bp-Based algorithm Offset bp-Based algorithm

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Quality Forecast on Finishing Machining by Free Grinding Tools Based on Genetic Neural Network

Quality Forecast on Finishing Machining by Free Grinding Too...

引用

The International Conference on Surface Finishing Technology and Surface Engineering

作者： C.H. Song, J.M. Wang and S.C. Yang College of Computer Software Engineering, Taiyuan University of Technology, 030024, China. College of Mechanical and Electrical Engineering, Taiyuan University of Science and Technology, 030024 , China. College of Mechanical Engineering, Taiyuan University of Technology, TaiYuan, 030024, China.

According to the current situation of finish machining by free grinding tools, GA-bp algorithm, which integrates neural network and genetic algorithm together, is applied to finish machining. A model based on genetic neural network has been built to forecast surface quality of machined parts and to choose optimized processing parameters. Finish machining by fluid magnetic grinding tools has been illustrated by comparing theoretical calculations with measured values. The result that the error is only about 5% shows that the algorithm is better. After simple modification, such algorithm could be successfully applied in other finish machining forms by free grinding tools, consequently, reasonable machining methods could be chosen.

关键词： Neural network Genetic algorithm bp algorithm Finish machining technology GA-NN method

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Joint De-modulation Decoding algorithm for LDPC-Coded BICM System

Joint De-modulation Decoding Algorithm for LDPC-Coded BICM S...

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2011 International Conference on Frontiers in Computer Education(ICFCE 2011)

作者： Ying Wang Kangming Jiang Department of Communication Guangdong Power Dispatching and Controlling Center

In order to improve the efficiency and decoding performance of LDPC-coded BICM system, the joint de-modulation Belief Propagation(JMbp) algorithm is proposed in this paperDue to the good sparse structure of LDPC code, the JMbp algorithm can be derived from the generalized optimal bp algorithm based on the generalized distributive law(GDL)The JMbp algorithm has comparably low complexity while provides better decoding performance when compared with the traditional BICM-bp algorithm in highary modulated BICM systemsAnd the simulation results confirm that the JMbp algorithm outperforms the traditional BICM-bp algorithm over both the AWGN and Rayleigh fading channel.

关键词： LDPC code BICM system GDL bp algorithm

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GA Neural Network of The Cost of The Building Graphic of The Analysis and Understanding

GA Neural Network of The Cost of The Building Graphic of The...

引用

2010 International Conference on Computer,Mechatronics, Control and Electronic Engineering (CMCE 2010)

作者： Kuancheng Zou Ye Qian School of Computer Science and Engineering Changchun University of Technology Changchun,China Yafei Li Pengfei Zhang School of Computer Science and Engineering Changchun University of Technology Changchun,China

The costs of pre-building graphic in the construction project management is a very important job,based on neural network theory and the characteristics of the costs of building graphic,raised GA neural network to solve the cost of building graphic problem,applied bp network model and used GA to optimize the weight based on bp *** calculation examples showed that the accuracy of the cost estimation met the requirements basically.

关键词： the cost of building graphic Neural network bp algorithm GA

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Intrusion Detection Research Based on Genetic Neural Networks

Intrusion Detection Research Based on Genetic Neural Network...

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The Third International Conference on Information Systems for Crisis Response and Management & the Fourth International Symposium on Geo-Infprmation for Disaster Management

作者： Tianhong Dai College of Machinery and Electron Engineering, Northeast Forestry University Harbin 150040 Keqi Wang College of Machinery and Electron Engineering,Northeast Forestry University Harbin 150040 Hong Yang College of Computer Science and Technology, Harbin Engineering University, Harbin 150001

The intrusion detection technology took one of computer network information security measures important methods, the invasion detection took one kind of dynamic safe protection technology,has provided to the internal attack, exterior attack and the disoperation real-time protection,receives before the endangerment in the network system interception and response *** on the characteristic to the computer network data to withdraw, proposed used the Genetic algorithms and the Neural Network unifies the invasion detection *** Genetic algorithms have the computation to be simple,the optimized effect good *** the bp algorithm using the Genetic algorithms the local minimum point,thus achieves a minimum point of RMS error,also solved the bp algorithm to restrain the slow question;At the same time also solved has alone used GA algorithm often not to be able to seek in the short time to approaches the optimal solution this *** confirmed the invasion detection effect through the computer experiment,enhanced the recognition rate,causes reporting mistakenly rate and failing to report rate reduces.

关键词： Information security intrusion detection neural network genetic algorithm bp algorithm

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Joint source/channel decoding for variables length codes and LDPC codes

Joint source/channel decoding for variables length codes and...

引用

2011 IEEE International Conference on Information Theory and Information Security(ICITIS 2011)

作者： Zid Youssef Sonia Zabi Ammar Sys’com Laboratory National Engineering School of Tunis

This paper is devoted to the study and the implementation of a joint source/channel decoding algorithm of VLC （Variable Length Code） and LDPC （Low Density Parity Check codes） codes. The principle of joint decoding is the information transfer between the source and channel decoder. Then, we can’t apply the classic VLC decoding algorithm. So, we implemented MAP decoding algorithm basing on trellis description. Simulations results showed that the performances of this algorithm are better than those of a classic decoding. Then, we introduced a LDPC code into the considered communication chain （source coded using a VLC code） and we proceed to an iterative joint decoding of VLC and LDPC codes. Simulation results show that iterative joint source/channel decoding provide an important gain compared to classic communication schema.

关键词： VLC LDPC bp algorithm BCJR algorithm joint source canal decoding iterative decoding

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