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Intelligent Control Method for the Secondary Cooling of Continuous Casting

International Journal of Minerals,Metallurgy and Materials 1997年第2期11卷 46-46页

作者： SUN Shaoyuan LI Shiping WANG Junran (Information Engineering Shool, UST B, Beijing 100083, China)

An intelligent control plan for the secondary cooling of continuous casting of slab was put forward. An off-line simulation of the system by using neural networks combined with fuzzy logic control is provided. The results show that the intelligent control system can not only control the surface temperature of the bloom of the secondary cooling but also has a good ability of self-adaptation and self-learning.

关键词： continuous casting artificial neural networks fuzzy control

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Speed Control of Travelling Wave Type Ultrasonic Motors Using artificial neural Network 

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Journal of Southeast University(English Edition) 1999年第2期15卷 63-68页

作者：杨忠金龙东南大学系统工程研究所南京210096

Ultrasonic motor (USM) is a newly developed motor, and it has some excellent performances and useful features, therefore, it has been expected to be of practical use. However, the driving principle of USM is different from that of other electromagnetic type motors, and the mathematical model is complex to apply to motor control. Furthermore, the speed characteristics of the motor have heavy nonlinearity and vary with driving conditions. Hence, the precise speed control of USM is generally difficult. This paper proposes a new speed control scheme for USM using an artificial neural network. An accurate tracking response can be obtained by random initialization of the weights of the network owing to the powerful on line learning capability. Two prototype ultrasonic motors of travelling wave type were fabricated, both having 100 mm outer diameters of stator and piezoelectric ceramic. The usefulness and validity of the proposed control scheme are examined in experiments.

关键词： artificial neural networks ultrasonic motors travelling wave type speed control

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Empirical Analysis of neural networks-Based Models for Phishing Website Classification Using Diverse Datasets

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Journal of Cyber Security 2023年第1期5卷 47-66页

作者： Shoaib Khan Bilal Khan Saifullah Jan Subhan Ullah Aiman Department of Computer Science City University of Science and Information TechnologyPeshawarPakistan

Phishing attacks pose a significant security threat by masquerading as trustworthy entities to steal sensitive information,a problem that persists despite user *** study addresses the pressing issue of phishing attacks on websites and assesses the performance of three prominent Machine Learning(ML)models—artificial neural networks(ANN),Convolutional neural networks(CNN),and Long Short-Term Memory(LSTM)—utilizing authentic datasets sourced from Kaggle and Mendeley *** experimentation and analysis reveal that the CNN model achieves a better accuracy of 98%.On the other hand,LSTM shows the lowest accuracy of 96%.These findings underscore the potential of ML techniques in enhancing phishing detection systems and bolstering cybersecurity measures against evolving phishing tactics,offering a promising avenue for safeguarding sensitive information and online security.

关键词： artificial neural networks phishing websites network security machine learning phishing datasets classification

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Role of artificial intelligence in the diagnosis and treatment of hepatocellular carcinoma

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artificial Intelligence in Gastroenterology 2022年第4期3卷 96-104页

作者： Rajesh Kumar Mokhria Jasbir Singh Government Model Sanskriti Senior Secondary School Chulkana132101PanipatHaryanaIndia Department of Biochemistry Kurukshetra UniversityKurukshetra136119HaryanaIndia

artificial intelligence(AI)evolved many years ago,but it gained much advancement in recent years for its use in the medical *** with its different subsidiaries,*** learning and machine learning,examine a large amount of data and performs an essential part in decision-making in addition to conquering the limitations related to human *** learning tries to imitate the functioning of the human *** utilizes much more data and intricate *** learning is AI based on automated *** utilizes earlier given data and uses algorithms to arrange and identify ***,hepatocellular carcinoma is a major cause of illness and *** with substantial progress in the whole treatment strategy for hepatocellular carcinoma,managing it is still a major *** in the area of gastroenterology,especially in hepatology,is particularly useful for various investigations of hepatocellular carcinoma because it is a commonly found tumor,and has specific radiological features that enable diagnostic procedures without the requirement of the histological ***,interpreting and analyzing the resulting images is not always easy due to change of images throughout the disease ***,the prognostic process and response to the treatment process could be influenced by numerous ***,AI is utilized in order to diagnose,curative and prediction *** investigations are essential to prevent likely bias,which might subsequently influence the analysis of images and therefore restrict the consent and utilization of such models in medical ***,experts are required to realize the real utility of such approaches,along with their associated potencies and constraints.

关键词： Hepatocellular carcinoma artificial intelligence Deep learning Machine learning Support vector machines artificial neural networks

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附聚成型法洗衣粉生产线计算机控制装置研制成功

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轻工机械 1996年第1期 28-28页

作者：刘安江

附聚成型法洗衣粉生产线计算机控制装置研制成功本装置由中国轻工总会杭州机械设计研究所华源自动化技术公司研制，规格从０．５～１０Ｔ／ｔ，通过投产十余套运行以来，受到了广大用户的青睐，其主要特点：豆．全生产过程采用上位计算... 详细信息

附聚成型法洗衣粉生产线计算机控制装置研制成功本装置由中国轻工总会杭州机械设计研究所华源自动化技术公司研制，规格从０．５～１０Ｔ／ｔ，通过投产十余套运行以来，受到了广大用户的青睐，其主要特点：豆．全生产过程采用上位计算机管理、监控系统、反映主要参数及工...

关键词： eight-direction chain code moments fast calculation artificial neural networks 2-D object recognition

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