نتایج جستجو برای: neural fuzzyinterface

تعداد نتایج: 302530  

The proposed IAFC neural networks have both stability and plasticity because theyuse a control structure similar to that of the ART-1(Adaptive Resonance Theory) neural network.The unsupervised IAFC neural network is the unsupervised neural network which uses the fuzzyleaky learning rule. This fuzzy leaky learning rule controls the updating amounts by fuzzymembership values. The supervised IAFC ...

Journal: :iranian economic review 0

estimation (forecasting) of industrial production costs is one of the most important factor affecting decisions in the highly competitive markets. thus, accuracy of the estimation is highly desirable. hibrid regression neural network is an approach proposed in this paper to obtain better fitness in comparison with regression analysis and the neural network methods. comparing the estimated resul...

Journal: :iranian journal of fuzzy systems 2014
maryam mosleh

in this paper, a novel hybrid method based on learning algorithmof fuzzy neural network and newton-cotesmethods with positive coefficient for the solution of linear fredholm integro-differential equation of the second kindwith fuzzy initial value is presented. here neural network isconsidered as a part of large field called neural computing orsoft computing. we propose alearning algorithm from ...

Journal: :international journal of civil engineering 0
s.n. moghaddas tafreshi gh. tavakoli mehrjardi s.m. moghaddas tafreshi

the safety of buried pipes under repeated load has been a challenging task in geotechnical engineering. in this paper artificial neural network and regression model for predicting the vertical deformation of high-density polyethylene (hdpe), small diameter flexible pipes buried in reinforced trenches, which were subjected to repeated loadings to simulate the heavy vehicle loads, are proposed. t...

Journal: :international journal of information science and management 0
j. mehrad ph.d., president of rlst s. koleini m.s., head, dept. of information technology, rlst

with the increase of the volume of information and the progress in technology, the deficiency of traditional algorithms for fast information retrieval becomes more clear. when large volumes of data are to be handled, the use of neural network as an artificial intelligent technique is a suitable method to increase the information retrieval speed. neural networks present a suitable representation...

Journal: یافته 2009
alireza Khalatbari , taghi Tarihi ,

Background: This article reviews experimental and clinical studies in which neural injuries repaired with bone marrow stromal cells. History: Bone marrow contains two kinds of stem cells: hematopoietic and nonhematopoietic (stromal) stem cell. In vitro studies indicate that bone marrow stromal cells have the capacity of differentiation into other cells (such as neural cell) under treatment wit...

Journal: :journal of artificial intelligence in electrical engineering 2014
zolekh teadadi hassan changiziyan

in the near future the use of distributed generation systems will play a big role in the production ofelectrical energy. one of the most common types of dg technologies , fuel cells , which can be connectedto the national grid by power electronic converters or work alone studies the dynamic behavior andstability of the power grid is of crucial importance. these studies need to know the exact mo...

ژورنال: Anatomical Sciences Journal 2007
Asgari, Ali Reza, Fathi, Fardin, Gol Mohammadi, Mohammad Ghasem, Golbar, Mohammad Reza, Izad Panah, Esmaeil, Jafari Kermani, Abbas, Moula, Seyed Javad,

Purpose: Isolation, induction of neural and glial differentiation and evaluating the expression of Nucleostemin, ZFX, Hoxb-4, Sox-9 & Bmi-1 self renewal genes in adult mouse neural stem cells. Materials and Methods: Breifly, for isolation of neural stem cells, frontal part of adult mouse brain was minced in PBS and digested by enzyme solution, containing hyaloronidase and trypsin. Isolated cel...

Journal: :geopersia 2013
manouchehr chitsazan gholamreza rahmani ahmad neyamadpour

in this paper, the artificial neural network (ann) approach is applied for forecasting groundwater level fluctuation in aghili plain,southwest iran. an optimal design is completed for the two hidden layers with four different algorithms: gradient descent withmomentum (gdm), levenberg marquardt (lm), resilient back propagation (rp), and scaled conjugate gradient (scg). rain,evaporation, relative...

Journal: :geopersia 0
manouchehr chitsazan faculty of earth sciences, shahid chamran university, ahvaz, iran gholamreza rahmani faculty of earth sciences, shahid chamran university, ahvaz, iran ahmad neyamadpour faculty of earth sciences, shahid chamran university, ahvaz, iran

in this paper, the artificial neural network (ann) approach is applied for forecasting groundwater level fluctuation in aghili plain,southwest iran. an optimal design is completed for the two hidden layers with four different algorithms: gradient descent withmomentum (gdm), levenberg marquardt (lm), resilient back propagation (rp), and scaled conjugate gradient (scg). rain,evaporation, relative...

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