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Near-Field Microwave Imaging with a New Optimization of MIMO Array

Near-Field Microwave Imaging with a New Optimization of MIMO...

引用

Asia-Pacific Microwave Conference (APMC)

作者： Yu, Liechen Li, Shiyong Zhao, Guoqiang Sun, Houjun Beijing Inst Technol Beijing Key Lab Millimeter Wave & Terahertz Techn Beijing 100081 Peoples R China

ISBN: (纸本)9781479987672

The near-filed array-based imaging radar systems have been widely used in the field of concealed weapon detection, medical imaging, etc. However, conventional systems always require a large number of antenna elements. Both the cost and complexity of the systems are increased. This paper refers to the convolution principle and introduces an optimization method for near-filed MIMO array. And the back-projection (bp) algorithm is used to the near-field MIMO imaging, which can focus any array configurations. Simulations are provided to demonstrate the performance of the proposed method, which proves that it is an effective way to solve the near-field sparse array imaging problem.

关键词： Near-field array-based MIMO convolution principle bp algorithm

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A Further Research on Two-phase Decoding for GC-LDPC Codes 12

A Further Research on Two-phase Decoding for GC-LDPC Codes

引用

12th IEEE International Conference on Anti-counterfeiting, Security, and Identification (ASID)

作者： Zhou, Wei Zhang, Lijun Sun, Qiang Beijing Jiaotong Univ Sch Elect & Informat Engn Beijing Peoples R China

ISBN: (纸本)9781538660638

For GC-LDPC code, a targeted decoding scheme is the two-phase decoding scheme, i.e., the local decoding phase and the global decoding phase. For both the phases, we find the direct application of log-domin belief propagation (bp) algorithm will lead to error. Hence, we propose an improved log-domin bp algorithm and it will be used in the two-phase decoding scheme. Since the two-phase decoding scheme has a large gain loss, we present a modified two-phase decoding scheme in order to further accelerate the convergence rate. Simulation results show that the modified two-phase decoder has a gain of about 0.2 dB compared to the two-phase decoder. Moreover, it also can reduce complexity by 33.4% in high SNR compared with the whole decoder.

关键词： GC-LDPC code bp algorithm the two-phase decoding algorithm the local decoder the global decoder

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Application of PID Neural Network Controller on Engine Throttle System

Application of PID Neural Network Controller on Engine Throt...

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2nd International Conference on Advanced Design and Manufacturing Engineering (ADME 2012)

作者： Cheng, Huanxin Li, Peng Qingdao Univ Sci & Technol Coll Automat & Elect Engn Qingdao 266042 Shandong Peoples R China

ISBN: (纸本)9783037855034

A mathematical model of engine throttle as the controlled object is established and then the neural network algorithms and MD control are combined. With the self -learning function of the neural network, self -tunings of PD parameters are realized. The method overcomes disadvantages of PD as parameters which are difficult to determine and embodies better intelligence and robustness of the neural network, the simulation is researched by Matlab and the results show that the PID neural network controller is more accurate and adaptive than conventional PID.

关键词： PID neural network bp algorithm engine throttle control

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Research in Neural Network Intelligent Method Based on Genetic algorithm

Research in Neural Network Intelligent Method Based on Genet...

引用

Pacific-Asia Conference on Circuits, Communications and Systems

作者： Xu, Jin-li Tan, Long-yuan Pan, Hao Wuhan Univ Technol Sch Mech & Elect Engn Wuhan 430070 Peoples R China Wuhan Univ Technol Sch Comp Sci & Technol Wuhan 430070 Peoples R China

ISBN: (纸本)9780769536149

A hybrid algorithm of calculation and intelligent learning with global convergence will be introduced, which is a combination of the bp algorithm and the genetic algorithm. This hybrid algorithm takes advantage of these two kinds of algorithms, possessing both a fast convergence and a high level of global convergence property. As a result, it is significantly better than the two algorithms according to the computer simulation.

关键词： neural network bp algorithm genetic algorithm global convergence

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Study on the Offset Color Reproduction Control System Based on Fuzzy Neural Network

Study on the Offset Color Reproduction Control System Based ...

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6th International Symposium on Neural Networks

作者： Guan, Liming Lin, Jian Xian Dianzi Univ Sch Electromech Engn Xian 710071 Peoples R China Hangzhou Univ Sch Printing Hangzhou 310018 Peoples R China

ISBN: (纸本)9783642015090

The recursive CFNN model was established against the characteristics of offset color reproduction quality control. The neural network can he used to construct the fuzzy system, and the self-adaptive and self-learning capability of neural networks was used to automatically adjust fuzzy system parameters, bp network could be learned and trained by the gradient descent algorithm. Based oil them test data for the study and testing of network, system error is less than the national standard error requirements, the results proved the effectiveness and feasibility of the algorithm.

关键词： Offset printing FNN bp algorithm Color reproduction

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Segmenting the color image in a simple background by ANN method

Segmenting the color image in a simple background by ANN met...

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International Symposium on Multispectral Image Processing and Pattern Recognition

作者： Xiong, LH Li, DH Hu, HP Jin, G Huazhong Univ Sci & Technol Inst Pattern Recognit & Artificial Intelligence State Educ Commiss Lab Image Informat Proc & Inte Wuhan 430074 Peoples R China

ISBN: (纸本)0819430064

The neural network method applied for the color image segmentation of the human's head image in the simple background is studied in this paper. The adopted network model is bp network, The image segmented by the region growing method is used as the training Bet and the bp algorithm is adopted to train the target and background image. Then segmenting testing image can be processed. Experimenting results show that the segmenting effect of this method is as good as the region growing method.

关键词： color image segmentation artificial neural network bp algorithm

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MOGA algorithm for multi-objective optimization of aircraft detection

MOGA algorithm for multi-objective optimization of aircraft ...

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20th Congress of the International-Commission-for-Optics

作者： Sun, HG Pan, YX Zhang, JB NE Normal Univ Coll Comp Changchun 130024 Peoples R China ChangChun Univ Sci & Technol Changchun 130022 Peoples R China

ISBN: (纸本)0819460583

This paper presents effective multi-objective genetic algorithms (MOGA) method, whose character lies in that evolutionary population is preference ranked based on concordance model, which was applied to a multi-objective optimization of aircraft, measure of fitness degree was discussed as an emphasis. The solutions were analyzed and compares with original bp neural networks algorithm, which is better than the network trained only on alternating momentum, which can performed well neural networks and have shown the superiority to the network structure. Based the pareto optimal approaches are equipped with a fast identifying ability in capturing the learned objects, and in the meantime it can adapt the new objects. The experiments with variety of image show that the method proposed is efficient and useful, the result demonstrates that convergence speed is faster than traditional algorithm;target was recognized by this algorithm and can increase recognition precision.

关键词： multi-objective genetic algorithms objective recognition Pareto Optimal bp algorithm

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Research on enterprise tacit knowledge management performance appraisal based on artificial neural networks

Research on enterprise tacit knowledge management performanc...

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13th International Conference on Management Science and Engineering

作者： Zhang Qing-pu Shan Wei Harbin Inst Technol Sch Management Harbin 150001 Peoples R China

ISBN: (纸本)7560323553

Based on knowledge management theory and performance appraisal methodology, the enterprise tacit knowledge management performance appraisal index system is established, and in view of the neural network structure characteristic, self-adapted and self-taught function, enterprise tacit knowledge management performance appraisal model based on bp neural algorithm is proposed. This model is feasible and suitable in terms of convergence rate, the network adaptability aspect. By using these research results, it can appraise the level of the enterprise tacit knowledge management scientifically, and provide the policy-making basis to correctly instruct enterprise knowledge management development.

关键词： bp algorithm knowledge management performance appraisal tacit knowledge

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Application and Development of Neural Network Technology in Mechanical Automation Processing Parameters 17

Application and Development of Neural Network Technology in ...

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17th IEEE International Wireless Communications and Mobile Computing Conference (IEEE IWCMC)

作者： Wang, Kai Henan Coll Ind & Informat Technol Jiaozuo 454000 Henan Peoples R China

ISBN: (纸本)9781728186160

With the continuous in-depth study of metal cutting mechanism and the development of computer technology, people have established a computer-aided optimization program system for cutting data, which provides new methods and means for selecting the optimal cutting parameters. As a new technology in the field of artificial intelligence research, neural networks have non-linear characteristics and information distribution. When dealing with multiple input and multiple output systems, it eliminates the complicated correlation analysis of various variables required by traditional modeling methods. The purpose of this article is to study the application and development of neural network technology for mechanical automation processing parameters. This article trains the sample set, learns the statistical law of the sample set, and saves the learned information in the weight. When the non-sample set mode is input, the bp network in the ideal neural network is highly nonlinear. The mapping ability is not limited by the number of inputs and outputs. In specific research applications, the original program can be freely modified as needed. This paper uses bp network as a research tool, trains bp network by using a large amount of experimental data, studies and analyzes several influencing factors of error remapping phenomenon, and uses bp network to solve the basic method of remapping problem, and initially established the feasibility of the method. Experimental research shows that this article is the ideal output data (actual data) for network testing and the network output data. From these data, it can be seen that the network training output and the ideal output error are controlled below 5%. It can be seen that the training result of the network is successful.

关键词： Neural Network Mechanical Automation Parameter Development bp algorithm

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Performance Analysis of LDPC Codes over Shallow Water Acoustic Channels

Performance Analysis of LDPC Codes over Shallow Water Acoust...

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5th International Conference on Wireless Communications, Networking and Mobile Computing

作者： Chen Yougan Xu Xiaomei Zhang Lan Xiamen Univ Minist Educ Key Lab Underwater Acoust Commun & Marine Informa Xiamen Peoples R China

ISBN: (纸本)9781424436927

The major obstacle to shallow water acoustic communication is the interference of multipath signal results from surface and bottom reflections. Channel coding is indispensable in practical system to accommodate these adverse channel transmission characteristics due to the coding gain. In this paper, a channel model including time-varying fading, multipath and additive noise for the shallow water acoustic channels is built. Based on the channel model, the Probability Density Function (PDF) of initial decoding messages with Belief Propagation (bp) algorithm of Low-Density Parity-Check (LDPC) codes is deduced. The performance of the LDPC codes with bp algorithm is simulated, and the effects of multipath, fading velocity and channel interleaver on the decoding performance are studied. As the result, the following conclusions can be given: The performance of LDPC codes is excellent (Bit Error Rate (BER) is less than 10(4)) over three-multipath shallow water acoustic channels, with 3 similar to 5 iterative decoding times and about 1000 bits code lengths;The BER of LDPC codes degrades with the increasing of the number of multipath;The BER of LDPC codes degrades slowly with the decreasing of the fading velocity, which shows the proposed channel code is not sensitive to the fading velocity of the channel.

关键词： shallow water acoustic channel LDPC codes multipath bp algorithm

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