Enhancing the Performance of the BackPropagation for Deep Neural Network
Journal Title: INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY - Year 2014, Vol 13, Issue 12
Abstract
The standard Backpropagation Neural Network (BPNN) Algorithm is widely used in solving many real problems in world. But the backpropagation suffers from different difficulties such as the slow convergence and convergence to local minima. Many modifications have been proposed to improve the performance of the algorithm such as careful selection of initial weights and biases, learning rate, momentum, network topology and activation function. This paper will illustrate a new additional version of the Backpropagation algorithm. In fact, the new modification has been done on the error signal function by using deep neural networks with more than one hidden layers. Experiments have been made to compare and evaluate the convergence behavior of these training algorithms with two training problems: XOR, and the Iris plant classification. The results showed that the proposed algorithm has improved the classical Bp in terms of its efficiency.
Authors and Affiliations
Ola Mohammed Surakhi, Walid A. Salameh
Keywords
Related Articles
- EP ID EP650625
- DOI 10.24297/ijct.v13i12.5279
- Views 94
- Downloads 0
Tourist attitudes toward the use of e-Commerce for tourism in Thailand
The aim of this paper is to study travelers’ attitudes toward the use of e-Commerce for tourism in Thailand. The study used mixed methodology quantitative research by collecting data from 510 domestic tourists; 400 int...
On the Theory of NP-Complete Problems
It is shown that the theory of NP -Ñomplete problems can't be used for the analysis of optimizing tasks.
Defending Against Denial of Sleep Attack in Wireless Sensor Network
A wireless sensor network is a wireless network organized with a large number of sensor nodes with specialized sensors that can monitor various physical attributes such as temperature, pressure, vibration, and sound. Sen...
ENHANCED MULTIQUERY SYSTEM USING KNN FOR CONTENT BASED IMAGE RETRIEVAL
Content Based Image Retrieval (CBIR) techniques are becoming an essential requirement in the multimedia systems with the widespread use of internet, declining cost of storage devices and the exponential growth of un-anno...
Performance Analysis of Rule Based Algorithms Applied to a Cardiovascular Dataset
Cardiovascular disease is one of the dominant concerns of society, affecting millions of people each year. Early and accurate diagnosis of risk of heart disease is one of major areas of medical research, aimed to aid in...