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ANALYSIS OF BACK PROPAGATION ALGORITHM

by Multilayer Network, Back Propagation
"... In this paper we will discuss the analysis of back propagation algorithm by implementation of this algorithm in metlab. And after implementation try to determine why or why not this algorithm is used in feed forward and feed backward multilayer neural network. Keywords: ..."
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In this paper we will discuss the analysis of back propagation algorithm by implementation of this algorithm in metlab. And after implementation try to determine why or why not this algorithm is used in feed forward and feed backward multilayer neural network. Keywords:

Descent Back Propagation Algorithm on

by Itn I, Ko Bin, Nr A, Al S, Ae N P , 2011
"... Abstract — The back propagation algorithm has been successfully applied to wide range of practical problems. Since this algorithm uses a gradient descent method, it has some limitations which are slow learning convergence velocity and easy convergence to local minima. The convergence behaviour of th ..."
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Abstract — The back propagation algorithm has been successfully applied to wide range of practical problems. Since this algorithm uses a gradient descent method, it has some limitations which are slow learning convergence velocity and easy convergence to local minima. The convergence behaviour

Back Propagation Algorithm

by G. Subramanya Nayak, Dayananda Nayak
"... Electrocardiogram is one important physiological signal, which is used in assessing cardiac health. The extraction of features used for identification of the state of ECG is discussed in this paper. Using MAT LAB programs/tools, different statistical features are extracted from both normal and arrhy ..."
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and arrhythmia spectra. These features include arithmetic mean, median, variance, residuals on curve fitting etc. The values of the feature vector reveal information regarding cardiac health state. Then a classical multilayer feed forward neural network with back propagation algorithm is employed to serve as a

NEURAL NETWORKS AND BACK PROPAGATION ALGORITHM

by Vladislav Skorpil, Jiri Stastny , 2006
"... This paper describes our research about neural networks and back propagation algorithm. Back-propagation algorithm is based on minimization of neural network Back-propagation algorithm is an iterative method where the network gets from an initial non-learned state to the full learned one. The learni ..."
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This paper describes our research about neural networks and back propagation algorithm. Back-propagation algorithm is based on minimization of neural network Back-propagation algorithm is an iterative method where the network gets from an initial non-learned state to the full learned one

Back Propagation Algorithm

by Sakshi Mehta
"... This paper, presents a theoretical and practical basis of preprocessing on handwritten text for character recognition using forward-feed neural networks. Afterwards, the Feed forward algorithm gives working of a neural network followed by the ..."
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This paper, presents a theoretical and practical basis of preprocessing on handwritten text for character recognition using forward-feed neural networks. Afterwards, the Feed forward algorithm gives working of a neural network followed by the

An Adaptive Training Method of Back-Propagation Algorithm

by Jang-Hee Yoo, Jae-woo Kim, Jong-Uk Choi
"... Currently, the back-propagation is the most widely applied neural network algorithm at present. However, its slow learning speed and local minima problem are often cited as the major weakness of the algorithm. In this paper, described are an adaptive training algorithm based on selective retraining ..."
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Currently, the back-propagation is the most widely applied neural network algorithm at present. However, its slow learning speed and local minima problem are often cited as the major weakness of the algorithm. In this paper, described are an adaptive training algorithm based on selective retraining

Modified Back Propagation Algorithm for CNN Template Design

by Masashi Nakagaway, Yoko Uwatey, Yoshifumi Nishioz
"... In the previous study, we have proposed a template design method of cellular neural networks with back propagation al-gorithm. In that method, template learns by using the average error which corresponds to the difference between the out-put image and the desired image. In this study, we modify the ..."
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In the previous study, we have proposed a template design method of cellular neural networks with back propagation al-gorithm. In that method, template learns by using the average error which corresponds to the difference between the out-put image and the desired image. In this study, we modify

THE USE OF BACK-PROPAGATION ALGORITHM IN THE ESTIMATION OF FIRM PERFORMANCE

by Ali Haydar, Zafer Ağdelen, Pınar Özbeşeker
"... Recently, many researches have been made to find the impact of human resources on firm performance. Many of these studies are conducted on the basis of statistical approaches and find the correlation between the human resource management (HRM) measures and firm performance. In this paper, the main a ..."
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units that are called as artificial neurons. In this work, we used one of the ANN approaches which is called as back-propagation algorithm. In order to collect data, a questionnaire is structured that contains questions related with human resource management and firm performance measures. The data

THE USE OF BACK-PROPAGATION ALGORITHM IN THE ESTIMATION OF FIRM PERFORMANCE

by unknown authors
"... Recently, many researches have been made to find the impact of human resources on firm performance. Many of these studies are conducted on the basis of statistical approaches and find the correlation between the human resource management (HRM) measures and firm performance. In this paper, the main a ..."
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units that are called as artificial neurons. In this work, we used one of the ANN approaches which is called as back-propagation algorithm. In order to collect data, a questionnaire is structured that contains questions related with human resource management and firm performance measures. The data

Medical Diagnosis using Back propagation Algorithm

by Arti Gupta, Maneesh Shreevastava
"... Abstract — Artificial Intelligence has always lent a helping hand to the practitioners of medicine for improving medical diagnosis and treatment then, paradigm of artificial neural networks is shortly introduced and the main problems of medical data base and the basic approaches for training and tes ..."
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and testing a network by medical data are described. A lot of Applications tried to help human experts, offering a solution. This paper describes a optimal feed forward Back propagation algorithm. Feedforward back propagation neural network is used as a classifier to distinguish between infected or non
Results 1 - 10 of 1,942