Nature and biologically inspired image segmentation techniques

S Singh, N Mittal, D Thakur, H Singh, D Oliva… - … Methods in Engineering, 2021 - Springer
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 …

Estimating daily Global solar radiation with graphical user interface in Eastern Mediterranean region of Turkey

HB Yıldırım, Ö Çelik, A Teke, B Barutçu - Renewable and Sustainable …, 2018 - Elsevier
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 …

Deep learning and system identification

L Ljung, C Andersson, K Tiels, TB Schön - IFAC-PapersOnLine, 2020 - Elsevier
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 …

[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 …

[图书][B] Neural network control of robot manipulators and non-linear systems

FW Lewis, S Jagannathan, A Yesildirak - 1998 - books.google.com
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 …

Artificial neural networks in hardware: A survey of two decades of progress

J Misra, I Saha - Neurocomputing, 2010 - Elsevier
This article presents a comprehensive overview of the hardware realizations of artificial
neural network (ANN) models, known as hardware neural networks (HNN), appearing in …

Regularization theory and neural networks architectures

F Girosi, M Jones, T Poggio - Neural computation, 1995 - ieeexplore.ieee.org
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 …

Nonlinear black-box modeling in system identification: a unified overview

J Sjöberg, Q Zhang, L Ljung, A Benveniste, B Delyon… - Automatica, 1995 - Elsevier
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 …

[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 …

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 …