نتایج جستجو برای: dynamic artificial neural networks w

تعداد نتایج: 1374287  

2008
Eva Kaslik Ştefan Balint

This chapter is devoted to the analysis of the complex dynamics exhibited by twodimensional discrete-time delayed Hopfield-type neural networks. Since the pioneering work of (Hopfield, 1982; Tank & Hopfield, 1986), the dynamics of continuous-time Hopfield neural networks have been thoroughly analyzed. In implementing the continuous-time neural networks for practical problems such as image proce...

2003
Enrico Blanzieri

Medical applications usually used Radial Basis Function Networks just as Artificial Neural Networks. However, RBFNs are Knowledge-Based Networks that can be interpreted in several way: Artificial Neural Networks, Regularization Networks, Support Vector Machines, Wavelet Networks, Fuzzy Controllers, Kernel Estimators, Instanced-Based Learners. A survey of their interpretations and of their corre...

In this paper, the author proposes a sensorless direct torque control (DTC) of an induction motor (IM) fed by seven-level NPC inverter using artificial neural networks (ANN) and fuzzy logic controller. Fuzzy PI controller is used for controlling the rotor speed and ANN applied in switching select stator voltage. The control method proposed in this paper can reduce the torque, stator flux and to...

Journal: :آب و خاک 0
معماریان فرد معماریان فرد بیگی هرچگانی بیگی هرچگانی

abstract cation exchange capacity (cec) is an important characteristic of soil in terms of nutrient and water holding capacities and contamination management. measurement of cec is laborious and time-consuming. therefore, cec estimation through other easily - measured properties is desirable. in this study, ptfs for estimation of cation exchange capacity from basic soil properties such as parti...

Journal: :آب و خاک 0
قربانی دشتکی قربانی دشتکی همایی همایی مهدیان مهدیان

abstract infiltration is a significant process which controls the fate of water in the hydrologic cycle. the direct measurement of infiltration is time consuming, expensive and often impractical because of the large spatial and temporal variability. artificial neural networks (anns) are used as an indirect method to predict the hydrological processes. the objective of this study was to develop ...

Journal: :research in pharmaceutical sciences 0

the main objective in classification of the nmr spectra of cancerous and healthy tissue , with high number of features is the prerequisites of the minimum number of samples. therefore the use of conventional classifier on this type of the data is not recommended. in the current work, different structures of the artificial neural networks (ann) were tried on classification of different cancerous...

Journal: :iranian journal of applied animal science 2015
s. ghazanfari k. nobari m. tahmoorespur

artificial neural networks (ann) have shown to be a powerful tool for system modeling in a wide range of applications. the focus of this study is on neural network applications to data analysis in egg production. an ann model with two hidden layers, trained with a back propagation algorithm, successfully learned the relationship between the input (age of hen) and output (egg production) variabl...

Journal: :desert 2015
zohreh kheradpisheh ali talebi lida rafati mohammad taghi ghaneian mohammad hassan ehrampoush

groundwater quality management is the most important issue in many arid and semi-arid countries, including iran.artificial neural network (ann) has an extensive range of applications in water resources management. in this study,artificial neural network was developed using matlab r2013 software package, and cl, ec, so4 and no3 qualitativeparameters were estimated and compared with the measured ...

Journal: :international journal of information, security and systems management 2015
maryam sadat abbas toloie ashlaghi reza radfar

one very significant issues in most educational systems, the question is educational achievement levels of students in exams. the educational system is one of the most important indicators of education performance and evaluation of teaching and the learning is the fact that the performance of the system output in each year. the method of the research is descriptive-survey. the research communit...

Journal: :journal of biomedical physics and engineering 0
s amiri department of medical physics and biomedical engineering, school of medicine, shiraz university of medical sciences, shiraz, iran mm movahedi department of medical physics and biomedical engineering, school of medicine, shiraz university of medical sciences, shiraz, iran k kazemi department of electrical and electronics engineering, shiraz university of technology, shiraz, iran h parsaei department of medical physics and biomedical engineering, school of medicine, shiraz university of medical sciences, shiraz, iran

background: brain tissue segmentation for delineation of 3d anatomical structures from magnetic resonance (mr) images can be used for neuro-degenerative disorders, characterizing morphological differences between subjects based on volumetric analysis of gray matter (gm), white matter (wm) and cerebrospinal fluid (csf), but only if the obtained segmentation results are correct. due to image arti...

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