Research on application of data mining in fast character recognition based on big data

Zheng, Ying; Song, Wen; Shen, Longfeng

doi:10.1002/cpe.4925

Concurrency and Computation

2018

DOI: 10.1002/cpe.4925

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Research on application of data mining in fast character recognition based on big data

Ying Zheng

Wen Song

Longfeng Shen

Abstract: For improving the speed of character recognition, this paper applies data mining technology to character recognition under the condition of big data architecture. As an effective method of data mining, artificial neural network is a computational model established by simplifying, abstracting, and simulating the biological neural mechanism of human brain. Artificial neural network ensemble method, by training several weak learning devices to form the final strong learning device, can better improve the learning… Show more

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Cited by 2 publications

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“…Experimental results show that the proposed data mining algorithm can further improve the learning efficiency and improve the performance of time. 10 Cloud storage based personalized sports activity management in Internet plus O2O sports community proposes an Internet plus O2O sports community and discusses the idea and methods of sports activities management. Firstly, the activity management framework contributed by activity organizers, participants, and followers is constructed using cloud storage technology.…”

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The 2018 International Conference on Modern Computer Science and Applications (MCSA2018)

2018

Concurrency and Computation

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The debate on network neutrality regulation: a technological innovation perspective focuses on the impacts of network neutrality regulation on technological innovations in telecommunications. This study first briefly discusses the significant role of technological innovation in telecommunications.Then, we adopt a stylized two-sided model (Internet broadband provider connects the two sides of the Internet, ie, content providers and end customers) and use a two-stage game theory to examine the decision-making of network operators and content providers in two alternative situations, respectively, that is, the neutral regime and the non-neutral regime. By comparing players' decisions in the two regimes, the impacts of network neutrality regulation on innovations are revealed. Non-neutral regime increases both network infrastructure investments and congestion-sensitive content innovations. In other words, network neutrality regulation inhibits telecommunications technological innovation while hindering the emergence of high-level content innovation. 2An effective application of 3D cloud printing service quality evaluation in BM-MOPSO proposes a type of order task execution process evaluation indicator of an eight-dimensional target component, which includes T, Q, Mat, R, Flex, C, Ft, and Sa. Based on this research, combined with the Pareto optimal theory, this paper proposes a BM-MOPSO algorithm of order task execution evaluation model in which the evaluations are conducted on the basis of research and exploration work from the task before execution, task execution, and task after execution. Finally, the algorithm is used to solve 3D Cloud Printing Quality evaluation, and the above method is verified to show the effectiveness by MATLAB software. 3 Design of damage identification algorithm for mechanical structures based on convolutional neural network proposes a numerical example of a three-layer steel frame used to construct the sample space of the convolution neural network by using the method proposed by the combined parameter method. The damage location and damage degree of the network with large damage and continuous unit damage and discontinuous unit damage are tested, respectively, and the training accuracy of the network meets the requirements completely at the same time. The location and degree of damage are measured in the case of small damage and continuous unit damage. Although the training of the degree of injury is not ideal in the case of small damage, it basically meets the requirements. It also shows that the combined parameter method can accurately identify the damage location and damage degree of the frame structure. 4 Experimental investigation of effect of tooth geometrical parameters to flow characteristics in slant labyrinth seals makes an experimental investigation to study the influence of the geometry parameters of slant straight-through labyrinth seals on sealing characteristics. Moreover, 22 models with different geometry parameters were designed, and the geometry parameters studied include...

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“…In the character recognition module, the improved BP neural network and the neural network integrated classifier based on weight clipping are used to identify. Experimental results show that the proposed data mining algorithm can further improve the learning efficiency and improve the performance of time …”

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The 2018 International Conference on Modern Computer Science and Applications (MCSA2018)

2018

Concurrency and Computation

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Effectiveness of ideological and political education reform in universities based on data mining artificial intelligence technology

Xiao-yang

Junzhi

Jingyuan³

et al. 2021

IFS

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Relying on the reform of the learning field curriculum system of ideological and political education courses in colleges and universities, the association rules between data mining and artificial intelligence technology are used to mine the association relationship between the software professional courses of the computer department, and the ideas and methods of optimizing the course setting are proposed. Discuss the reference value of the whole environment, multi-dimensional space-time, inter-subjectivity theory to the model construction from the theoretical level and the guiding significance of the Internet governance thought to the reform of ideological and political education in universities and colleges The survey results analyze the problems existing in the reform and construction of ideological and political education in colleges and universities, and propose improvements and optimization measures and the four systems of “systematic design outlined in the outline, teamwork coordination of team building, network expansion of environmental construction, and dual promotion of quality assurance". The countermeasures to improve the effectiveness of the ideological and political education in universities, experience summarization, theoretical analysis and empirical research, the idea of constructing a “three-stage full environment” network ideological and political education model for colleges and universities is proposed. Through in-depth understanding and analysis of the relevant knowledge of data mining artificial intelligence technology, the relevant methods of data mining artificial intelligence technology are used to solve the timeliness problems of ideological and political education reform in colleges and universities, so that relevant managers can timely learn relevant information in complex issues to provide solutions for further decision-making.

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Research on application of data mining in fast character recognition based on big data

Cited by 2 publications

References 17 publications

The 2018 International Conference on Modern Computer Science and Applications (MCSA2018)

The 2018 International Conference on Modern Computer Science and Applications (MCSA2018)

Effectiveness of ideological and political education reform in universities based on data mining artificial intelligence technology

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