نتایج جستجو برای: neural genetic model

تعداد نتایج: 2838028  

Journal: :international journal of environmental research 2012
kh. ashrafi m. shafiepour l. ghasemi b. araabi

the objective of this paper is to develop an artificial neural network (ann) model which can beused to predict temperature rise due to climate change in regional scale. in the present work data recorded overyears 1985-2008 have been used at training and testing steps for ann model. the multilayer perceptron(mlp) network architecture is used for this purpose. three applied optimization methods a...

Journal: :international journal of agricultural science and research 2011
h. abbasi z. emam-djomeh s. m. seyedin

farinograph is the most frequently used equipment for empirical rheological measurements of dough. it’suseful to illustrate quality of flour, behavior of dough during mechanical handling and texturalcharacteristics of finished products. the percentage of water absorption and the development time of doughare the most important parameters of farinography for bakery industries during production. h...

2011
P. ŠUSTER A. JADLOVSKÁ

This paper introduces a solution to the reference trajectory tracking problem done by a differential wheeled mobile robot Khepera II. The paper includes a kinematic part and a dynamic part of the mathematical model of mobile robot. In this paper two approaches of the artificial intelligence are used i.e. genetic algorithm approach from evolutionary computing techniques and theory of neural netw...

Journal: :iranian chemical communication 2014
sharmin esmaeilpoor zahra shirzadi hadi noorizadeh

the quantitative structure-retention relationship (qsrr) of nanoparticles in roadside atmosphere against the comprehensive two-dimensional gas chromatography which was coupled to high-resolution time-of-flight mass spectrometry was studied. the genetic algorithm (ga) was employed to select the variables that resulted in the best-fitted models. after the variables were selected, the linear multi...

Nouredin Parandin Somayeh Ezadi

In this paper, we introduce a hybrid approach based on neural network and optimization teqnique to solve ordinary differential equation. In proposed model we use heyperbolic secont transformation function in hiden layer of neural network part and bfgs teqnique in optimization part. In comparison with existing similar neural networks proposed model provides solutions with high accuracy. Numerica...

Journal: :iranian chemical communication 2014
hadi noorizadeh sharmin esmaeilpoor zohreh moghadam shahnaz nosratolahy

the veterinary drugs residues are also important pollutants found in milk, since veterinary drugs are commonly used in cattle management. considering the role of milk in human nutrition and its wide consumption throughout the world, it is very important to ensure the milk quality. a quantitative structure–retention relationship (qsrr) was developed using the partial least square (pls), kernel p...

2012
Rafid Ahmed Khalil

Non-linear dynamical systems are difficult to control due to the model uncertainties and external disturbances that may occur in these systems. This paper addresses the problem of identification using dynamic neural networks (DNNs) based on genetic algorithm (GA) for nonlinear dynamic systems. Four different dynamic neural networks are used for identification of the same nonlinear dynamic syste...

ژورنال: بیمارستان 2021
Farajpour, Nastaran, Salahi, Fariba,

Background and Aim: Today we are witnessing tremendous advances in medical data mining. The data, by analyzing and discovering the relationships between them, can lead to algorithms that help us prevent or treat many diseases. Meanwhile, genetic diseases have attracted a large part of the attention of the medical world because the birth of children with genetic disorders imposes a great financi...

Journal: :تحقیقات اقتصادی 0
مصطفی دین محمدی استادیار، دانشگاه زنجان، دانشکدۀ علوم انسانی، گروه اقتصاد رضا پیرایش استادیار، دانشگاه زنجان، دانشکدۀ علوم انسانی، گروه مدیریت و حسابداری آرش داداشی کارشناس ارشد مهندسی مالی

modern portfolio theory is based on harry markowitz's 1952 work on mean-variance portfolios. he stated that a rational investor should either maximize his expected return for a given level of risk, or minimize his risk for a given expected return. in this study the markowitz model with cardinality constraints was studied. we extend the standard model to include cardinality constraints that...

Journal: :iranian journal of chemistry and chemical engineering (ijcce) 2009
ehsan samadani amir hossein shamekhi mohammad hassan behroozi reza chini

diesel engine emission standards are being more stringent as it gains more publicity in industry and transportation. hence, designers have to suggest new controlling strategies which result in small amounts of emissions and a reasonable fuel economy. to achieve such a target, multi-objective optimization methodology is a good approach inasmuch as several types of objective are minimized or maxi...

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