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Artificial Neural Networks in Catalyst Development. Chapter 10
In this paper, main principles of employing multilayer perceptrons for the approximation of unknown functions are outlined, and another possible use of multilayer perceptrons in combinatorial catalysis is indicated...
IN - Informatika
- 2003 •
- C
Rok uplatnění
C - Kapitola v odborné knize
Rainfall-runoff time series modeling with artificial neural network usage
The most required forecast is a six hours ahead estimation of runoff volume. The source data consist of several hourly data time series, like runoff, rainfall and API. We compared linear regression, last value estimation, multilayer perc...
DA - Hydrologie a limnologie
- 2010 •
- D
Rok uplatnění
D - Stať ve sborníku
Robust interquantile multilayer perceptron 1.0
An interquantile multilayer perceptron. The idea is to compute two selected nonlinear regression quantiles by means of multilayer perceptrons (MLPs) and the final regression fit is obtained as a standard MLP compu...
Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
- 2020 •
- R •
- Link
Rok uplatnění
R - Software
Výsledek na webu
Short term load forecasting with multilayer perceptron and recurrent neural networks
The ability of the Elman recurrent neural network (RNN) to model the short term load forecasting (STFL) problem is investigated in this paper.
JA - Elektronika a optoelektronika, elektrotechnika
- 2002 •
- Jx
Rok uplatnění
Jx - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)
Colour Image Compression with Nerual Network
This paper shows how to compress a bitmap image with multilayer perceptron neural network. While other papers study only black & white images, our work is aimed to the coloured ones....
IN - Informatika
- 2005 •
- 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 parameters. Experiments show prop...
IN - Informatika
- 2006 •
- D
Rok uplatnění
D - Stať ve sborníku
Feedforward Neural Networks in Catalysis: A Tool for the Approximation of the Dependency of Yield on Catalyst Composition, and for Knowledge Extraction
and prediction. In this paper, main principles of employing multilayer perceptrons the abstractness of the subject, the method is illustrated by applying multilayer perceptrons perceptrons in combinatoria...
BA - Obecná matematika
- 2003 •
- Jx
Rok uplatnění
Jx - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)
Optimization of multilayer perceptron training parameters using artificial bee colony and genetic algorithm
In this paper, the momentum coefficient, learning rate, and the number of hidden neurons where the multilayer perceptron works best, are determined. The network and optimization algorithms are written in MATLAB, which was also succe...
JA - Elektronika a optoelektronika, elektrotechnika
- 2015 •
- D
Rok uplatnění
D - Stať ve sborníku
Classification of chosen human actions using EEG signal analysis
This article concerns in comparison of some methods for classification and description of EEG signal. Features for description are based on frequency analysis methods - STFT, Wavelet transform, Matching Pursuit. Methods are compared according to reli...
JD - Využití počítačů, robotika a její aplikace
- 2005 •
- D
Rok uplatnění
D - Stať ve sborníku
Discrimination between local microearthquakes and quarry blasts by multilayer perceptrons, Kohonen maps and nearest neighbour classifiers. Progress report 2/1994.
Annotation not available...
DC - Seismologie, vulkanologie a struktura Země
- 1994 •
- Vx
Rok uplatnění
Vx - Nezařazeno - Výzkumná zpráva obsahující utajované informace (takový výsledek lze do RIV vložit pouze v případě, že zpráva obsahuje utajované informace a pole R12 = U), nebo souhrnná výzkumná zpráva
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