In this paper, a non-invasive blood glucose sensing system is presented using near infra-red(NIR) spectroscopy. The signal from the NIR optodes is processed using artificial neural networks (ANN) to estimate the glucose level in blood. In order to ob...
Medical dosimetry : official journal of the American Association of Medical Dosimetrists
Dec 11, 2014
In this study, artificial neural networks (ANNs) and adaptive neuro-fuzzy inference system (ANFIS) are investigated to predict the thickness of the compensator filter in radiation therapy. In the proposed models, the input parameters are field size (...
Neural networks : the official journal of the International Neural Network Society
Dec 10, 2014
A Spiking Neural Network (SNN) training using SpikeProp and its variants is usually affected by sudden rise in learning cost called surges. These surges cause diversion in the learning process and often cause it to fail as well. Researches have shown...
Neural networks : the official journal of the International Neural Network Society
Dec 9, 2014
Along with the fast evolvement of internet technology, internet users have to face the large amount of textual data every day. Apparently, organizing texts into categories can help users dig the useful information from large-scale text collection. Cl...
Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
Dec 8, 2014
This study describes a simple and rapid approach of monitoring celecoxib (CLX). Unfolded principal component analysis-radial basis function neural network (UPCA-RBFNN) and excitation-emission spectra were combined to develop new model in the determin...
Regulatory toxicology and pharmacology : RTP
Dec 8, 2014
Evaluation of potential chemical-induced eye injury through irritation and corrosion is required to ensure occupational and consumer safety for industrial, household and cosmetic ingredient chemicals. The historical method for evaluating eye irritant...
Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
Dec 5, 2014
Spectrophotometric analysis method based on the combination of the principal component analysis (PCA) with the feed-forward neural network (FFNN) and the radial basis function network (RBFN) was proposed for the simultaneous determination of paraceta...
Online evolution gives robots the capacity to learn new tasks and to adapt to changing environmental conditions during task execution. Previous approaches to online evolution of neural controllers are typically limited to the optimisation of weights ...
The multiple traveling salesman problem (MTSP) is an important combinatorial optimization problem. It has been widely and successfully applied to the practical cases in which multiple traveling individuals (salesmen) share the common workspace (city ...
International journal of neural systems
Dec 4, 2014
In this paper, we present general methods that can be used to explore the information processing potential of a medium composed of oscillating (self-exciting) droplets. Networks of Belousov-Zhabotinsky (BZ) droplets seem especially interesting as che...
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