相关期刊:《Intelligent Control and Automation》《Journal of Systems Engineering and Electronics》《Tsinghua Science and Technology》《Machine Intelligence Research》更多>>
With the recent advancements of deep learning-based methods in image classification,the requirement of a huge amount of training data is inevitable to avoid overfitting problems.Moreover,supervised deep learning model...
This paper introduces a PID Autotuning controller using intelligent neural network control based on relay feedback approach. The proposed controller takes advantage of offline learning, in which the initial knowledge ...
supported by the National Natural Science Foundation of China(61301011);the Fundamental Research Funds for the Central Universities(HIT.NSRIF.2012010);the China Postdoctoral Science Foundation(2013M540279);the Heilongjiang Postdoctoral Financial Assistance(LBH-Z11157)
An improved particle swarm algorithm based on the D-Tent chaotic model is put forward aiming at the standard particle swarm algorithm. The convergence rate of the late of proposed algorithm is improved by revising the...
Supported by the National Natural Science Foundation of China(No. 60803017);the National Key Basic Research and Development (973) Program of China (Nos. 2011CB302505 and 2011CB302805);supported by 2010-2011 and 2011-2012 IBM Ph.D. Fellowships
The performance of distributed computing systems is partially dependent on configuration parameters recorded in configuration files. Evolutionary strategies, with their ability to have a global view of the structural ...
This project was supported by the National Key Project in the Ninth Fivc-Year Plan(97-619-02-03).
The brief arts and crafts of the ordinary fourdrinier are introduced first. After the intractable points of paper basis weight (BW) control are analyzed, an autotuning PID/PI control algorithm based on relay feedback ...