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Neural computing for advanced applic...

International Conference on Neural Computing for Advanced Applications (2022 :)

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Neural computing for advanced applications = third International Conference, NCAA 2022, Jinan, China, July 8-10, 2022 : proceedings.. Part I /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Neural computing for advanced applications/ edited by Haijun Zhang ... [et al.].
其他題名:	third International Conference, NCAA 2022, Jinan, China, July 8-10, 2022 : proceedings.
其他題名:	NCAA 2022
其他作者:	Zhang, Haijun.
團體作者:	International Conference on Neural Computing for Advanced Applications
出版者:	Singapore :Springer Nature Singapore : : 2022.,
面頁冊數:	xx, 546 p. :ill. (chiefly color), digital ;24 cm.
內容註:	TE-BiLSTM: Improved Transformer and BiLSTM on Fraudulent Phone Text Recognition -- Cross elitist learning multifactorial evolutionary algorithm -- Heterogeneous Adaptive Denoising Networks for Recommendation -- Formation Control Optimization via Leader Selection for Rotor Unmanned Aerial Vehicles -- Dynamic Monitoring Method Based on Compara-tive Study of Power and Environmental Protection Indicators -- Combustion State Recognition Method in Municipal Solid Waste Incineration Process Based on Improved Deep Forest -- RPCA-induced Graph Tensor Learning for Incomplete Multi-view Inferring and Clustering -- TRUST-TECH Assisted GA-SVM Ensembles and its Applications.
Contained By:	Springer Nature eBook
標題:	Neural computers - Congresses. -
電子資源:	https://doi.org/10.1007/978-981-19-6142-7
ISBN:	9789811961427

Neural computing for advanced applications = third International Conference, NCAA 2022, Jinan, China, July 8-10, 2022 : proceedings.. Part I /
Neural computing for advanced applicationsthird International Conference, NCAA 2022, Jinan, China, July 8-10, 2022 : proceedings.Part I /[electronic resource] :NCAA 2022edited by Haijun Zhang ... [et al.]. - Singapore :Springer Nature Singapore :2022. - xx, 546 p. :ill. (chiefly color), digital ;24 cm. - Communications in computer and information science,16371865-0937 ;. - Communications in computer and information science ;1637..

TE-BiLSTM: Improved Transformer and BiLSTM on Fraudulent Phone Text Recognition -- Cross elitist learning multifactorial evolutionary algorithm -- Heterogeneous Adaptive Denoising Networks for Recommendation -- Formation Control Optimization via Leader Selection for Rotor Unmanned Aerial Vehicles -- Dynamic Monitoring Method Based on Compara-tive Study of Power and Environmental Protection Indicators -- Combustion State Recognition Method in Municipal Solid Waste Incineration Process Based on Improved Deep Forest -- RPCA-induced Graph Tensor Learning for Incomplete Multi-view Inferring and Clustering -- TRUST-TECH Assisted GA-SVM Ensembles and its Applications.

The two-volume Proceedings set CCIS 1637 and 1638 constitutes the refereed proceedings of the Third International Conference on Neural Computing for Advanced Applications, NCAA 2022, held in Jinan, China, during July 8-10, 2022. The 77 papers included in these proceedings were carefully reviewed and selected from 205 submissions. These papers were categorized into 10 technical tracks, i.e., neural network theory, and cognitive sciences, machine learning, data mining, data security & privacy protection, and data-driven applications, computational intelligence, nature-inspired optimizers, and their engineering applications, cloud/edge/fog computing, the Internet of Things/Vehicles (IoT/IoV), and their system optimization, control systems, network synchronization, system integration, and industrial artificial intelligence, fuzzy logic, neuro-fuzzy systems, decision making, and their applications in management sciences, computer vision, image processing, and their industrial applications, natural language processing, machine translation, knowledge graphs, and their applications, Neural computing-based fault diagnosis, fault forecasting, prognostic management, and system modeling, and Spreading dynamics, forecasting, and other intelligent techniques against coronavirus disease (COVID-19)

ISBN: 9789811961427

Standard No.: 10.1007/978-981-19-6142-7doiSubjects--Topical Terms:

696766
Neural computers
--Congresses.

LC Class. No.: QA76.87 / .I57 2022

Dewey Class. No.: 006.32

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