文件名称:InTech-Direct_neural_network_control_via_inverse_
介绍说明--下载内容均来自于网络,请自行研究使用
Applications of Artificial Neural Networks (ANNs) attract the attention of many scientists
from all over the world. They have many advantages over traditional algorithmic methods.
Some of these advantages are, but not limited to ease of training and generalization,
simplicity of their architecture, possibility of approximating nonlinear functions,
insensitivity to the distortion of the network and inexact input data-Applications of Artificial Neural Networks (ANNs) attract the attention of many scientists
from all over the world. They have many advantages over traditional algorithmic methods.
Some of these advantages are, but not limited to ease of training and generalization,
simplicity of their architecture, possibility of approximating nonlinear functions,
insensitivity to the distortion of the network and inexact input data
from all over the world. They have many advantages over traditional algorithmic methods.
Some of these advantages are, but not limited to ease of training and generalization,
simplicity of their architecture, possibility of approximating nonlinear functions,
insensitivity to the distortion of the network and inexact input data-Applications of Artificial Neural Networks (ANNs) attract the attention of many scientists
from all over the world. They have many advantages over traditional algorithmic methods.
Some of these advantages are, but not limited to ease of training and generalization,
simplicity of their architecture, possibility of approximating nonlinear functions,
insensitivity to the distortion of the network and inexact input data
(系统自动生成,下载前可以参看下载内容)
下载文件列表
InTech-Direct_neural_network_control_via_inverse_modelling_application_on_induction_motors.pdf