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Prediction of the kind of sprouts of Cruciferae family based on artificial neural network analysis
artificial neural network sensitivity analysis cruciferous sprout classification bioactive compounds
2014/3/4
The aim of this work was to show that artificial neural networks (ANNs) are a convenient tool for predicting the kind of sprouts originated from Cruciferae family. For this purpose, the known contents...
Depth object recovery using a light line and a regression neural network
shape detection light line projection regression neural network Gaussian approximation
2011/4/26
A technique for measuring the objects shape is presented. In this technique, the object is scanned using a light line. From the scanning a set of images is captured by a CCD camera. By processing thes...
Analysis of DNA Sequence Pattern Using Probabilistic Neural Network Model
Analysis of DNA Sequence Pattern Probabilistic Neural Network Model
2014/3/12
To discover frequently occurring DNA patterns related to inherent diseases or gene regulation associated diseases, we must clarify which sequences interact with transcription factors in genome. A prob...
Neural Network Based Steganalysis in Still Images
Neural Network Based Steganalysis Still Images
2010/12/14
Seganalysis has recently attracted researchers’ interests with the development of information hiding techniques.
In this paper we propose a new method based neural network to get statistics features ...
NEURAL NETWORK SCHEMES IN CARTESIAN SPACE CONTROL OF ROBOT MANIPULATORS
Manipulation Robot Neural Network Cartesian Space Control
2010/1/12
In this paper we are studying the Cartesian space robot manipulator control problem by
using Neural Networks (NN). Although NN compensation for model uncertainties has been
traditionally carried out...