Nature and biologically inspired image segmentation techniques
Image processing is among the significant areas of growth in the current scenario. It consist
of a set of techniques typically used to enhance the raw image obtained from different …
of a set of techniques typically used to enhance the raw image obtained from different …
Estimating daily Global solar radiation with graphical user interface in Eastern Mediterranean region of Turkey
It is important to have accurate knowledge on global solar radiation for optimum design of
solar energy conversion systems. However, global solar radiation measurement is very rare …
solar energy conversion systems. However, global solar radiation measurement is very rare …
Deep learning and system identification
Deep learning is a topic of considerable interest today. Since it deals with estimating-or
learning-models, there are connections to the area of System Identification developed in the …
learning-models, there are connections to the area of System Identification developed in the …
[图书][B] Artificial neural networks
B Yegnanarayana - 2009 - books.google.com
Designed as an introductory level textbook on Artificial Neural Networks at the postgraduate
and senior undergraduate levels in any branch of engineering, this self-contained and well …
and senior undergraduate levels in any branch of engineering, this self-contained and well …
[图书][B] Neural network control of robot manipulators and non-linear systems
There has been great interest in" universal controllers" that mimic the functions of human
processes to learn about the systems they are controlling on-line so that performance …
processes to learn about the systems they are controlling on-line so that performance …
Artificial neural networks in hardware: A survey of two decades of progress
This article presents a comprehensive overview of the hardware realizations of artificial
neural network (ANN) models, known as hardware neural networks (HNN), appearing in …
neural network (ANN) models, known as hardware neural networks (HNN), appearing in …
Regularization theory and neural networks architectures
We had previously shown that regularization principles lead to approximation schemes that
are equivalent to networks with one layer of hidden units, called regularization networks. In …
are equivalent to networks with one layer of hidden units, called regularization networks. In …
Nonlinear black-box modeling in system identification: a unified overview
A nonlinear black-box structure for a dynamical system is a model structure that is prepared
to describe virtually any nonlinear dynamics. There has been considerable recent interest in …
to describe virtually any nonlinear dynamics. There has been considerable recent interest in …
[图书][B] Principal component neural networks: theory and applications
KI Diamantaras, SY Kung - 1996 - dl.acm.org
Principal component neural networks | Guide books skip to main content ACM Digital Library
home ACM home Google, Inc. (search) Advanced Search Browse About Sign in Register …
home ACM home Google, Inc. (search) Advanced Search Browse About Sign in Register …
RBF 神经网络理论及其在控制中的应用
王旭东, 邵惠鹤 - 信息与控制, 1997 - xk.sia.cn
对RBF 神经网络的结构, 分类, 函数逼近理论及训练方法进行了综述, 并且对RBF
网络的优点及问题作了分析, 同时介绍了目前RBF 网络在控制方面主要应用情况 …
网络的优点及问题作了分析, 同时介绍了目前RBF 网络在控制方面主要应用情况 …