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Learning and evolution in artificial neural networks (a comparison study)
Learning and evolution in artificial neural networks (a comparison study)...
JD - Využití počítačů, robotika a její aplikace
- 2008 •
- D
Rok uplatnění
D - Stať ve sborníku
Deep neural network
of the neural network (network depth), complemented by a forward pre-learning (depth learning) neural network algorithm based on layered autocoders on top of each otherThe designed algor...
Electrical and electronic engineering
- 2022 •
- R •
- Link
Rok uplatnění
R - Software
Výsledek na webu
DELA - An Evolutionary learning algorithms for neural networks
Aim of this contribution is to show how a new evolutionary algorithm can be used like learning algorithm for various neural networks. In this contribution is explained how differential evolution works and how is used for
JD - Využití počítačů, robotika a její aplikace
- 2000 •
- D
Rok uplatnění
D - Stať ve sborníku
Neural network in economics
. In the article, utilization of multilayered neural network with supervised learning and self applications. Neural networks are mostly used in decision processes related. Neural networks...
IN - Informatika
- 2008 •
- D
Rok uplatnění
D - Stať ve sborníku
Experimental model of self-learning neural network
The software allows the creation of models for solving problems with the use of self-learning neural network.
JC - Počítačový hardware a software
- 2012 •
- R •
- Link
Rok uplatnění
R - Software
Výsledek na webu
A neural network approach to the fuzzy transform
In the terminology of the neural networks the F-transform uses so called off-line learning. However, for certain applications an on-line learning algorithm has to be implemented. We study the F-transform from the <...
BA - Obecná matematika
- 2006 •
- D
Rok uplatnění
D - Stať ve sborníku
NEUROLAB - program for an artificial neural network learning
NEUROLAB - program for an artificial neural network learning...
BC - Teorie a systémy řízení
- 1999 •
- D
Rok uplatnění
D - Stať ve sborníku
Evolutionary Learning of Multi-Layer Perceptron Neural Networks
Evolutionary learning algorithms for multilayer neural networks of perceptron type are presented. Several crossover and mutation operators are suited to recombine genotype encoding of neural network parame...
IN - Informatika
- 2006 •
- D
Rok uplatnění
D - Stať ve sborníku
USING COHONEN NEURAL NETWORKS FOR MULTI-LAYER CLASSIFICATION
Cohonen neural networks and neural networks generally can be used to solve classification problems. Neural networks provide a new approach based on processes seen the usage of multi-layer neur...
IN - Informatika
- 2008 •
- D
Rok uplatnění
D - Stať ve sborníku
The Influence of Genetic Algorithms on Learning Possibilities of Artificial Neural Networks
optimization and acceleration of the neural network learning process. The function of the neural network and its learning by using the genetic algorithm is demonstrated of a neural
Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
- 2022 •
- JSC •
- Link
Rok uplatnění
JSC - Článek v periodiku v databázi SCOPUS
Výsledek na webu
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