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Creativity in the use of teaching programs algorithmic type of motoric learning
The paper deals with the problem of creativity and efficiency of motoric learning. Creativity and effectiveness in conjunction with the concept of the algorithm (a teaching program algorithmic type) extends the possibilitie...
AK - Sport a aktivity volného času
- 2008 •
- D
Rok uplatnění
D - Stať ve sborníku
Stochastic learning algorithm for artificial neural network with probability direction vector
Article is about stochastic learning algorithm with probability vector with examples of learning...
JC - Počítačový hardware a software
- 2009 •
- Jx
Rok uplatnění
Jx - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)
Comparison of Learning Algorithms
There are several learning methods which are suitable for neural networks. In this paper two of them are described - Back-propagation (BP) and Genetic (GA) algorithms. These learning methods are compared here and they are u...
JA - Elektronika a optoelektronika, elektrotechnika
- 2008 •
- D
Rok uplatnění
D - Stať ve sborníku
Experimental device for application of reinforcement learning algorithms to pneumatic springs
The paper describes the creation of an experimental jig to apply enhanced learning algorithms to a pneumatic spring. It also describes the advantages of learning algorithms on a real spring compared to learnin...
Mechanical engineering
- 2021 •
- O
Rok uplatnění
O - Ostatní výsledky
Learning of Radial Basis Function Networks: Experimental Results.
We present various learning methods for RBF networks. The standard gradient-based learning is augmented by the weighted norm adaptation. The three-step learning algorithm uses different unsupervised learning
BA - Obecná matematika
- 2002 •
- D
Rok uplatnění
D - Stať ve sborníku
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 ne...
JD - Využití počítačů, robotika a její aplikace
- 2000 •
- D
Rok uplatnění
D - Stať ve sborníku
Discovering predictive ensembles for transfer learning and meta-learning
Recent meta-learning approaches are oriented towards algorithm selection, optimization or recommendation of existing algorithms. In this article we show how data-tailored algorithms can be constructed from building...
Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
- 2018 •
- Jimp •
- Link
Rok uplatnění
Jimp - Článek v periodiku v databázi Web of Science
Výsledek na webu
Firefly Algorithm Enhanced by Orthogonal Learning
Orthogonal learning strategy, a proven technique, is combined with hybrid optimization metaheuristic, which is based on Firefly Algorithm and Particle Swarm Optimization. The hybrid algorithm Firefly Particle Swarm Optimiza...
Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
- 2018 •
- D •
- Link
Rok uplatnění
D - Stať ve sborníku
Výsledek na webu
Reinforcement Structural Learning
of learned structure. The learning algorithm is online which allows us to use it in reinforcement learning setup. We demonstrate that this algorithm is usable on severalThis article shows a novel approach...
IN - Informatika
- 2015 •
- O •
- Link
Rok uplatnění
O - Ostatní výsledky
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 ne...
JD - Využití počítačů, robotika a její aplikace
- 1999 •
- D
Rok uplatnění
D - Stať ve sborníku
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