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Communication network array signal synchronous transmission method based on gaussian fuzzy algorithm

WIRELESS NETWORKS 2022年第5期28卷 2289-2298页

作者： Zhong, Jingxiang China West Normal Univ Network & Informat Adm Nanchong 637009 Peoples R China

In wireless sensor network communication system, the interference caused by random spread spectrum leads to poor communication quality and high bit error rate of communication network array signals. The invention provides a wireless sensor network communication network array signal synchronization transmission algorithm based on gaussian fuzzy algorithm. Wireless sensor network communication channel model is established within the building and code interference suppression algorithm, using a gaussian blur algorithm for array signal synchronization control, communication network and the communication network of array signal multipath structure harmonic balance equation, the structure and design of the matched filter detector, implements the communication network optimization of array signal synchronous transmission. The simulation results show that the algorithm can realize the synchronous transmission of the communication network array signals in the wireless sensor network communication, greatly improve the output SNR, greatly reduce the bit error rate of the wireless sensor network communication system, and improve the communication quality and performance.

关键词： gaussian fuzzy algorithm Communication network Array signal Synchronous transmission

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Intelligent sports prediction analysis system based on improved gaussian fuzzy algorithm

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ALEXANDRIA ENGINEERING JOURNAL 2022年第7期61卷 5351-5359页

作者： Men, Yanhua Jilin Inst Phys Educ Changchun 130022 Jilin Peoples R China

In order to improve the effect of intelligent sports prediction and analysis, this paper analyzes the traditional high-speed model and proposes a reliable sports action recognition algorithm on this basis. With this algorithm as the core algorithm, sports action recognition can be performed. The paper mainly constructs a standard database structure, inputs a reliable standardized movement model into the database structure, and compares the identified sports movement model with the standard movement model to judge the accuracy of the sports movement. Moreover, this paper uses statistical analysis to study sports training and sports competitions, and obtains prediction results through multi-factor analysis and comparison. In addition, this paper uses statistical methods to process experimental data to draw graphs and tables that can visually observe the results of sports predictive analysis. From the experimental analysis, it can be seen that the algorithm model constructed in this paper has a significant effect. (C) 2021 THE AUTHORS. Published by Elsevier BV on behalf of Faculty of Engineering, Alexandria University.

关键词： gaussian fuzzy algorithm Improved algorithm Intelligent system Sports prediction

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Application and Optimization of Image fuzzy Control algorithm based on gaussian Blur in TensorFlow Training

Application and Optimization of Image Fuzzy Control Algorith...

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3rd International Conference on Mechatronics Engineering and Information Technology(ICMEIT 2019)

作者： Yongjun Zhang Feiyang Ma State Key Laboratory of Information and Optical Communications Beijing University of Post and Telecommunications

When training a convolutional neural network that can interpret picture ambiguity, a large number of pictures with different ambiguities are needed as a training set. This paper introduces a method to adjust the image ambiguity by adjusting the parameters in the gaussian fuzzy algorithm. Finally, the convolutional neural network training based on TensorFlow migration learning is completed, and the ambiguity judgment of the image is realized, and the optimization effect of the fuzzy control algorithm is verified.

关键词： TensorFlow gaussian fuzzy algorithm the convolutional neural network the fuzzy control algorithm

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