نتایج جستجو برای: back propagation algorithm

تعداد نتایج: 984050  

2012
N. M. Nawi M. R. Ransing R. S. Ransing

The conjugate gradient optimization algorithm usually used for nonlinear least squares is presented and is combined with the modified back propagation algorithm yielding a new fast training multilayer perceptron (MLP) algorithm (CGFR/AG). The approaches presented in the paper consist of three steps: (1) Modification on standard back propagation algorithm by introducing gain variation term of th...

Journal: :journal of ai and data mining 2016
a. ebrahimzadeh m. ahmadi m. safarnejad

classification of heart arrhythmia is an important step in developing devices for monitoring the health of individuals. this paper proposes a three module system for classification of electrocardiogram (ecg) beats. these modules are: denoising module, feature extraction module and a classification module. in the first module the stationary wavelet transform (swf) is used for noise reduction of ...

Journal: :civil engineering infrastructures journal 0
fatemeh barzegari instructor of agricultural department, payam noor university, iran. mohsen yousefi m.sc., faculty of natural resources, yazd university, iran ali talebi associate professor, faculty of natural resources, yazd university, iran.

the aim of this study was to estimate suspended sediment by the ann model, dt with cart algorithm and different types of src, in ten stations from the lorestan province of iran. the results showed that the accuracy of ann with levenberg-marquardt back propagation algorithm is more than the two other models, especially in high discharges. comparison of different intervals in models showed that r...

1988
Sharad Singhal Lance Wu

A large fraction of recent work in artificial neural nets uses multilayer perceptrons trained with the back-propagation algorithm described by Rumelhart et. a1. This algorithm converges slowly for large or complex problems such as speech recognition, where thousands of iterations may be needed for convergence even with small data sets. In this paper, we show that training multilayer perceptrons...

In order to study the effect of R2O/Al2O3 (where R=Na or K), SiO2/Al2O3, Na2O/K2O and H2O/R2O molar ratios on the compressive strength (CS) of Metakaolin base geopolymers, more than forty data were gathered from literature. To increase the number of data, some experiments were also designed. The resulted data were utilized to train and test the three layer artificial neural network (ANN). Bayes...

Journal: :Malaysian Journal of Fundamental and Applied Sciences 2019

Journal: :journal of advances in computer research 2014
sedigheh navaezadeh iman zangeneh elham tavakol

in the past, one of the biggest problems requiring long and complicated computing was lack of appropriate software and hardware facilities in order to compute them in a proper and logical time. due to this issue, sometimes, computing lasted for several days, months or years. therefore, computer science pioneers tried to find a solution for this problem. one of the ways was to present grid compu...

ژورنال: محاسبات نرم 2016

Prediction of urban air pollution is an important subject in environmental studies. However, the required data for prediction is not available for every interested location. So, different models have been proposed for air pollution prediction. The feature selection (among 20 features given in Meteorology Organization data) was performed by binary gravitational search algorithm (BGSA) in this st...

In this research, the amount of Iron removal by bioleaching of a kaolin sample with high iron impurity with Aspergillus niger was optimized. In order to study the effect of initial pH, sucrose and spore concentration on iron, oxalic acid and citric acid concentration, more than twenty experiments were performed. The resulted data were utilized to train, validate and test the two layer artificia...

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