DEVELOPMENT OF A HYBRID SYSTEM FOR IDENTIFICATION OF ELASTIC MATERIAL IN COMPOSITE LAMINA: APPLICATION OF LAMB WAVES AND NEURAL NETWORKS

2015 ◽  
Author(s):  
Zenon Waszczyszyn ◽  
Piotr Nazarko ◽  
Pawel Packo ◽  
Lukasz Ambrozinski ◽  
Tadeusz Uhl
Keyword(s):  
Neural Networks ◽  
Hybrid System ◽  
Elastic Material ◽  
Lamb Waves

scholarly journals Nonlinear Time-Series Analysis of Pulsation of Post-AGB Stars by Genetic Algorithm/Neural Network Hybrid Systems

2000 ◽  
Vol 176 ◽  
pp. 135-136
Author(s):  
Toshiki Aikawa
Keyword(s):  
Neural Network ◽  
Genetic Algorithm ◽  
Neural Networks ◽  
Time Series ◽  
Artificial Neural Networks ◽  
Hybrid System ◽  
Nonlinear Time Series ◽  
Photometric Data ◽  
Nonlinear Time Series Analysis ◽  
Agb Stars

AbstractSome pulsating post-AGB stars have been observed with an Automatic Photometry Telescope (APT) and a considerable amount of precise photometric data has been accumulated for these stars. The datasets, however, are still sparse, and this is a problem for applying nonlinear time series: for instance, modeling of attractors by the artificial neural networks (NN) to the datasets. We propose the optimization of data interpolations with the genetic algorithm (GA) and the hybrid system combined with NN. We apply this system to the Mackey–Glass equation, and attempt an analysis of the photometric data of post-AGB variables.

scholarly journals To contemplate quantitative and qualitative water features by neural networks method

2011 ◽  
Vol 48 (No. 7) ◽  
pp. 322-326 ◽  
Author(s):  
M. Neruda ◽  
R. Neruda
Keyword(s):  
Neural Networks ◽  
Fourier Series ◽  
Computer Science ◽  
Hybrid System ◽  
Back Propagation ◽  
Neural Model ◽  
Black Box ◽  
Layer Number ◽  
Accurate Forecast ◽  
Hidden Layer

An application deals with calibration of neural model and Fourier series model for Ploučnice catchment. This approach has an advantage, that the network choice is independent of other example’s parameters. Each networks, and their variants (different units and hidden layer number) can be connected in as a black box and tested independently. A Stuttgart neural simulator SNNS and a multiagent hybrid system Bang2 developed in Institute of Computer Science, AS CR have been used for testing. A perceptron network has been constructed, which was trained by back propagation method improved with a momentum term. The network is capable of an accurate forecast of the next day runoff based on the runoff and rainfall values from previous day.

scholarly journals A hybrid system of neural networks and rough sets for road safety performance indicators

2009 ◽  
Vol 14 (12) ◽  
pp. 1255-1263 ◽  
Author(s):  
Yongjun Shen ◽  
Tianrui Li ◽  
Elke Hermans ◽  
Da Ruan ◽  
Geert Wets ◽  
...  
Keyword(s):  
Neural Networks ◽  
Hybrid System ◽  
Performance Indicators ◽  
Rough Sets ◽  
Road Safety ◽  
Safety Performance

A hybrid system for embedded machine vision using FPGAs and neural networks

2008 ◽  
Vol 20 (6) ◽  
pp. 379-394 ◽  
Author(s):  
Miguel S. Prieto ◽  
Alastair R. Allen
Keyword(s):  
Neural Networks ◽  
Machine Vision ◽  
Hybrid System
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