Weighted median filters: a tutorial
L Yin, R Yang, M Gabbouj… - IEEE Transactions on …, 1996 - ieeexplore.ieee.org
Weighted Median (WM) filters have the robustness and edge preserving capability of the
classical median filter and resemble linear FIR filters in certain properties. Furthermore, WM …
classical median filter and resemble linear FIR filters in certain properties. Furthermore, WM …
Artificial neural networks in image processing for early detection of breast cancer
Medical imaging techniques have widely been in use in the diagnosis and detection of
breast cancer. The drawback of applying these techniques is the large time consumption in …
breast cancer. The drawback of applying these techniques is the large time consumption in …
[КНИГА][B] An introduction to neural networks
K Gurney - 2018 - taylorfrancis.com
Though mathematical ideas underpin the study of neural networks, the author presents the
fundamentals without the full mathematical apparatus. All aspects of the field are tackled …
fundamentals without the full mathematical apparatus. All aspects of the field are tackled …
[PDF][PDF] Identification and control of dynamical systems using neural networks
SN Kumpati, P Kannan - IEEE Transactions on neural …, 1990 - maxim.ece.illinois.edu
The paper demonstrates that neural networks can be used effectively for the identification
and control of nonlinear dynamical systems. The emphasis of the paper is on models for …
and control of nonlinear dynamical systems. The emphasis of the paper is on models for …
[КНИГА][B] Artificial neural systems: foundations, paradigms, applications, and implementations
PK Simpson - 1991 - dl.acm.org
Artificial neural systems | Guide books skip to main content ACM Digital Library home ACM
home Google, Inc. (search) Advanced Search Browse About Sign in Register Advanced Search …
home Google, Inc. (search) Advanced Search Browse About Sign in Register Advanced Search …
[КНИГА][B] Inductive learning algorithms for complex systems modeling
HR Madala - 2019 - taylorfrancis.com
Inductive Learning Algorithms for Complex Systems Modeling is a professional monograph
that surveys new types of learning algorithms for modeling complex scientific systems in …
that surveys new types of learning algorithms for modeling complex scientific systems in …
[КНИГА][B] Handbook of approximation algorithms and metaheuristics
TF Gonzalez - 2007 - taylorfrancis.com
Delineating the tremendous growth in this area, the Handbook of Approximation Algorithms
and Metaheuristics covers fundamental, theoretical topics as well as advanced, practical …
and Metaheuristics covers fundamental, theoretical topics as well as advanced, practical …
Entropy nets: from decision trees to neural networks
IK Sethi - Proceedings of the IEEE, 1990 - ieeexplore.ieee.org
How the map** of decision trees into a multilayer neural network structure can be
exploited for the systematic design of a class of layered neural networks, called entropy nets …
exploited for the systematic design of a class of layered neural networks, called entropy nets …
[КНИГА][B] Artificial neural networks: learning algorithms, performance evaluation, and applications
N Karayiannis, AN Venetsanopoulos - 2013 - books.google.com
1.1 Overview We are living in a decade recently declared as the" Decade of the Brain".
Neuroscientists may soon manage to work out a functional map of the brain, thanks to …
Neuroscientists may soon manage to work out a functional map of the brain, thanks to …
A robust backpropagation learning algorithm for function approximation
DS Chen, RC Jain - IEEE Transactions on Neural Networks, 1994 - ieeexplore.ieee.org
The backpropagation (BP) algorithm allows multilayer feedforward neural networks to learn
input-output map**s from training samples. Due to the nonlinear modeling power of such …
input-output map**s from training samples. Due to the nonlinear modeling power of such …