نتایج جستجو برای: cellular neural network

تعداد نتایج: 1235777  

پایان نامه :وزارت بهداشت، درمان و آموزش پزشکی - دانشگاه علوم پزشکی و خدمات بهداشتی درمانی استان فارس - دانشکده دندانپزشکی 1388

چکیده ندارد.

Journal: :international journal of environmental research 2011
l. jimenez j.m. mateo i. lopez-arevalo m.t. oms

this paper describes a study of operational parameters by using the multivariate data analysis and neural networks for a municipal waste incinerator located in majorca (spain). the basis of the study also includes the chemometric techniques: linear multivariate regression to develop a model with certain predictive capabilities; linear principal component analysis, which allow the number of vari...

Journal: :international journal of advanced biological and biomedical research 2014
rahim amoozadeh mohammad javad sheykh davoudi heidar ali ghasemnejad vahid dehghani farajolla eshraghi mofrad

this study tries to codify a proper mathematical model which can be predict the costs of repair and maintaining the tractors as precisely as possible for three common models of tractors in shahid beheshti cultivation firm in andimeshk-ahvaz road of dezfoul. studied tractors include: newhland tm155 tractor which is chosen from the most perfect file of 10 tractor machines and jandier tractor-3140...

Journal: :International Journal of Geographical Information Science 2021

This study investigates the effects of sample size and prevalence on cellular automata (CA) simulation urban growth. We take CA models based an artificial neural network (ANN), log...

ژورنال: علوم آب و خاک 2019

Estimation of evapotranspiration is essential for planning, designing and managing irrigation and drainage schemes, as well as water resources management. In this research, artificial neural networks, neural network wavelet model, multivariate regression and Hargreaves' empirical method were used to estimate reference evapotranspiration in order to determine the best model in terms of efficienc...

Introduction:  It is of utmost importance to predict cardiovascular diseases correctly. Therefore, it is necessary to utilize those models with a minimum error rate and maximum reliability. This study aimed to combine an artificial neural network with the genetic algorithm to assess patients with myocardial infarction and congestive heart failure.   Materials & Methods: This study utilized a m...

A.A. Aslaminejad A.R. Jafari Arvari M. Khojastehkey,

In this study, a method based on using image processing and artificial neural network is introduced to determine pelt color and curl size of newborn lambs in Zandi sheep. The data was collected from 300 newborn lambs reared in the Zandi sheep breeding centre of Khojir, Tehran. Primarily, curl size and pelt color of new born lambs was recorded by experienced appraisers, and at the same time, sev...

ژورنال: اقتصاد مالی 2017

هدف پژوهش حاضر پیش‌بینی شاخص قیمت بورس اوراق بهادار تهران با استفاده از مدل شبکه عصبی هیبریدی مبتنی بر الگوریتم ژنتیک و جستجوی هارمونی است. مربوط‌ترین نماگرهای تکنیکی به عنوان متغیرهای ورودی و تعداد بهینه نرون در لایه پنهان شبکه عصبی مصنوعی با استفاده از الگوریتم‌های فراابتکاری ژنتیک و جستجوی هارمونی حاصل می‌گردد. مقادیر روزانه شاخص قیمت بورس اوراق بهادار تهران از تاریخ 1/10/91 الی 30/9/94 جهت ...

1997
MICHELE ZAMPARELLI

Real-codedgenetic algorithms on a parallel architecture are applied to optimize the synaptic couplings of a Cellular Neural Network for specific greyscale image processing tasks. Using supervised learning information in the jitnessfinction, we propose the Genetic Algorithm as a general training methodfor Cellular Neural Networks. 01997 Elsevier Science Ltd. Keywords-Cellular neuralnetworks,Gene...

Sh Gharibzadeh B Saboori R Azadi SM Aghdaee

Artificial neural networks are intelligent systems that have successfully been used for prediction in different medical fields. In this study, the efficiency of a neural network for predicting the survival of patients with acute pancreatitis is compared with days-of-survival obtained from patients. A three- layer back-propagation neural network was developed for this purpose. Clinical data (e.g...

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