نتایج جستجو برای: genetic network programming gnp

تعداد نتایج: 1520772  

2011
Tae-Hyung Kim Waleed Ahmed El-said Jeong-Woo Choi

Gold nanoparticles (GNP) and RGD peptide modified indium tin oxide (ITO) electrode was fabricated to enhance the electrochemical signals from neural stem cells (HB1.F3). Aminopropyltrimethoxylane (APTMS) was selfassembled on ITO electrode surface to immobilze GNP and its topological characteristics were confirmed by scanning electron microscopy (SEM). Thereafter, cysteine containing RGD peptide...

This paper proposes a bi-objective reliable supply chain network design that immunizes the network against different sources of uncertainties. In this regard, scenario based stochastic programming method is applied to model different disruption scenarios affecting accurate performance of network stages. Also, reliable and unreliable facilities are suggested for lessening vulnerability of networ...

Most studies in relay coordination have focused solely on coordination of overcurrent relays while distance relays are used as the main protection of transmission lines. Since, simultaneous coordination of these two types of relays can provide a better protection, in this paper, a new approach is proposed for simultaneous coordination of distance and directional overcurrent relays (D&DOCRs). Al...

2005
James Wolfer

There have been a variety of methods for producing evolutionary art using Genetic Programming and other genetic algorithms. While some have included an underlying image, many of these systems produce aesthetically pleasing abstract images without overt structure. By using a physiologically inspired pulse-coupled neural network to find salient regions in an underlying image, and by subsequently ...

Journal: :international journal of civil engineering 0
h. shahnazari school of civil engineering, iran university of science and technology, p.o. box 16765-163, narmak, tehran, iran m. a. shahin department of civil engineering, curtin university, perth western australia 6845, australia m. a. tutunchian school of civil engineering, iran university of science and technology, p.o. box 16765-163, narmak, tehran, iran

due to the heterogeneous nature of granular soils and the involvement of many effective parameters in the geotechnical behavior of soil-foundation systems, the accurate prediction of shallow foundation settlements on cohesionless soils is a complex engineering problem. in this study, three new evolutionary-based techniques, including evolutionary polynomial regression (epr), classical genetic p...

2014
Partha Pratim Saha Tanmoy Bhowmik Anjan Kumar Dasgupta Antony Gomes

Research on nanoparticles has created interest among the biomedical scientists. Nanoparticle conjugation aims to target drug delivery, increase drug efficacy and imaging for better diagnosis. Toxicity profile of the nanoconjugated molecules has not been studied well. In this communication, the toxicity profile of snake venom cytotoxin (NKCT1), an antileukemic protein toxin, was evaluated after ...

Journal: :Nanoscale 2014
Fabrizio Sordello Gul Zeb Kaiwen Hu Paola Calza Claudio Minero Thomas Szkopek Marta Cerruti

We report the hydrothermal synthesis of graphene (GNP)-TiO2 nanoparticle (NP) hybrids using COOH and NH2 functionalized GNP as a shape controller. Anatase was the only TiO2 crystalline phase nucleated on the functionalized GNP, whereas traces of rutile were detected on unfunctionalized GNP. X-Ray Photoelectron spectroscopy (XPS) showed C-Ti bonds on all hybrids, thus confirming heterogeneous nu...

Journal: :Journal of Chemical Physics 2021

While subjected to radiation, gold nanoparticles (GNPs) have been shown enhance the production of radicals when added aqueous solutions. It has proposed that arrangement water solvation layers near water–gold interface plays a significant role. As such, structural and electronic properties first layer surrounding GNPs varying sizes were compared bulk using classical molecular dynamics quantum s...

Journal: :BMC Medical Informatics and Decision Making 2002
Chris D. Nugent Jesus A. Lopez Ann E. Smith Norman D. Black

BACKGROUND Classification of the electrocardiogram using Neural Networks has become a widely used method in recent years. The efficiency of these classifiers depends upon a number of factors including network training. Unfortunately, there is a shortage of evidence available to enable specific design choices to be made and as a consequence, many designs are made on the basis of trial and error....

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