Swarm and evolutionary computing algorithms for system identification and filter design: A comprehensive review
An exhaustive review on the use of structured stochastic search approaches towards system
identification and digital filter design is presented in this paper. In particular, the paper …
identification and digital filter design is presented in this paper. In particular, the paper …
[PDF][PDF] 基于遗传算法优化小波神经网络数控机床热误差建模
李彬, 张云, 王立平, 李学崑 - 机械工程学报, 2019 - qikan.cmes.org
数控机床的热误差已经成为影响其加工精度的一个关键因素, 为最大限度提高数控机床热误差
补偿的精度和效率, 结合遗传算法自适应全局优化搜索能力和小波神经网络良好的时频局部特性 …
补偿的精度和效率, 结合遗传算法自适应全局优化搜索能力和小波神经网络良好的时频局部特性 …
[PDF][PDF] Modeling for CNC machine tool thermal error based on genetic algorithm optimization wavelet neural networks
李彬, 张云, 王立平, 李学崑 - Journal of Mechanical Engineering, 2019 - qikan.cmes.org
Thermal error has been a significant factor influencing the accuracy of CNC machine tools,
in order to maximize the accuracy and efficiency of thermal error compensation for CNC …
in order to maximize the accuracy and efficiency of thermal error compensation for CNC …
[PDF][PDF] Adaptive network based fuzzy inference system (ANFIS) as a tool for system identification with special emphasis on training data minimization
M Buragohain - A Doctoral thesis submitted to Department of …, 2008 - researchgate.net
Nearly two decades back nonlinear system identification consisted of several ad-hoc
approaches which were restricted to a very limited class of systems. However, with the …
approaches which were restricted to a very limited class of systems. However, with the …
[图书][B] Metaheuristic applications to speech enhancement
P Kunche, K Reddy - 2016 - Springer
Speech enhancement is incorporated as an essential component in all voice communication
devices to improve their performance in noisy environments. Speech enhancement is an …
devices to improve their performance in noisy environments. Speech enhancement is an …
Study of energy efficient supercritical coal-fired power plant dynamic responses and control strategies
ORI Mohamed - 2012 - etheses.bham.ac.uk
The world is facing the challenge of global warming and environment protection. On the
other hand, the demand of electricity is growing fast due to economic growth and increase in …
other hand, the demand of electricity is growing fast due to economic growth and increase in …
Identification of nonlinear systems using particle swarm optimization technique
System identification in noisy environment has been a matter of concern for researchers in
many disciplines of science and engineering. In the past the least mean square algorithm …
many disciplines of science and engineering. In the past the least mean square algorithm …
A neural-metaheuristic kalman filter for moving microburst wind shear identification
Microburst wind shears (MB) are powerful localized three dimensional (3D) columns of wind
that occur when cooled air drops from the base of thunderstorms at high speeds. They …
that occur when cooled air drops from the base of thunderstorms at high speeds. They …
GA-based evolutionary identification algorithm for unknown structured mechatronic systems
M Iwasaki, M Miwa, N Matsui - IEEE Transactions on Industrial …, 2005 - ieeexplore.ieee.org
Soft computing techniques, eg, neural networks, fuzzy inference, evolutionary computation,
and chaos theory, have been applied to a wide variety of control systems in industry …
and chaos theory, have been applied to a wide variety of control systems in industry …
Nonlinear Hammerstein model identification using genetic algorithm
A Akramizadeh, AA Farjami… - Proceedings 2002 IEEE …, 2002 - ieeexplore.ieee.org
In this paper, a new approach to nonlinear system identification using evolutionary LMS
algorithm is proposed. The system in our method consists of a static nonlinear function in …
algorithm is proposed. The system in our method consists of a static nonlinear function in …