نتایج جستجو برای: neural network rfnn

تعداد نتایج: 832184  

Introduction: Acute appendicitis is one of the most common causes of emergency surgery especially in children. Proper and on-time diagnosis may decrease the unwanted complications. In despite of diagnostic methods, a significant number of patients yet and up with negative laparotomies. The aim of this study was to assess the role of artificial neural networks in diagnosis of acute appendicitis ...

Journal: :international journal of hematology-oncology and stem cell research 0
mehrdad payandeh hematology-oncology department, faculty of medical science, kermanshah university of medical science,kermanshah, iran mehrnoush aeinfar hematology-oncology department, faculty of medical science, kermanshah university of medical science, kermanshah, iran vahid aeinfar electronic department, faculty of technology, razi university, kermanshah, iran computational intelligence research center, razi university, kermanshah, iran mohsen hayati electronic department, faculty of technology, razi university, kermanshah, iran computational intelligence research center, razi university, kermanshah, iran

abstract: this paper represents a novel use of artificial neural networks in medical science. the proposed technique involves training a multi layer perceptron (mlp) (a kind of artificial neural network) with a bp learning algorithm to recognize a pattern for the diagnosing and prediction of five blood disorders, through the results of blood tests from h1 machine. the blood test parameters and ...

M. Gholami M. Niaz Azari T. Yektaniroumand

This study examined and presents an effective method for detection of failure of conductor bars in the winding of rotor of induction motor in low load conditions using neural networks of radial-base functions. The proposed method used Hilbert method to obtain the stator current signal push. The frequency and signal amplitude of the push stator were used as the input of the neural network and th...

Abdolrasoul Bardideh Amir Hossein Hashemian Behrouz Beiranvand, Eghbal Zand-Karimi Mansour Rezaei

Cox regression model serves as a statistical method for analyzing the survival data, which requires some options such as hazard proportionality. In recent decades, artificial neural network model has been increasingly applied to predict survival data. This research was conducted to compare Cox regression and artificial neural network models in prediction of kidney transplant survival. The prese...

Ever-increasing dependence of human life on energy has made this factor play a critically crucial role either potentially or actively in the functions of various economic sectors of countries. Therefore, the people in charge of any country should try to make exact forecasting of energy consumption and make correct planning about its consumption in a way to optimally control supply-demand parame...

In this paper, a method is proposed for Multiple Response Optimization (MRO) by neural networks and uses desirability of each response for forecasting. The used neural network is a feed forward back propagation one with two hidden layers. The numbers of neurons in the hidden layers are determined using MSE criterion for training and test data. The numbers on neurons of the first layer last laye...

A. Jafarian, S. Measoomy Nia

This paper intends to offer a new iterative method based on articial neural networks for finding solution of a fuzzy equations system. Our proposed fuzzied neural network is a ve-layer feedback neural network that corresponding connection weights to output layer are fuzzy numbers. This architecture of articial neural networks, can get a real input vector and calculates its corresponding fuzzy o...

ژورنال: علوم آب و خاک 2020

In this study, we used the ARIMA time series model, the fuzzy-neural inference network, multi-layer perceptron artificial neural network, and ARIMA-ANN, ARIMA-ANFIS hybrid models for the modeling and prediction of the daily electrical conductivity parameter of daily teleZang hydrometric station over the statistical period of 49 years. For this purpose, the daily data for the 1996-2004 period we...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه شیراز - دانشکده مهندسی 1386

چکیده ندارد.

Journal: :مهندسی سازه 0
محمدرضا جعفریان علیرضا عباس زاده

multilayer bach propagation neural networks have been considered by researchers. despite their outstanding success in managing contact between input and output, they have had several drawbacks. for example the time needed for the training of these neural networks is long, and some times not to be teachable. the reason for this long time of teaching is due to the selection unsuitable network par...

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