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期刊=Intelligent Control and Automation

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Advancing COVID-19 Diagnosis with CNNs: An Empirical Study of Learning Rates and Optimization Strategies: 《Intelligent Control and Automation》2023年第4期45-78,共34页Mainak Mitra Soumit Roy; The rapid spread of the novel Coronavirus (COVID-19) has emphasized the necessity for advanced diagnostic tools to enhance the detection and management of the virus. This study investigates the effectiveness of Convol...; 关键词：Learning Rate AI OPTIMIZER Deep Learning CNN Multi Class Classification

Robust Sliding Mode Control for Nonlinear Discrete-Time Delayed Systems Based on Neural Network被引量：5: 《Intelligent Control and Automation》2015年第1期75-83,共9页Vishal Goyal Vinay Kumar Deolia Tripti Nath Sharma; This paper presents a robust sliding mode controller for a class of unknown nonlinear discrete-time systems in the presence of fixed time delay. A neural-network approximation and the Lyapunov-Krasovskii functional th...; 关键词：DISCRETE-TIME NONLINEAR Systems LYAPUNOV-KRASOVSKII Functional Linear Matrix Inequality (LMI) Sliding Mode CONTROL (SMC) CHEBYSHEV Neural Networks (CNNs)

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