Comparison of Neural Network Training Functions for Hematoma Classification in Brain CT Images
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2014, Vol 16, Issue 1
Abstract
Classification is one of the most important task in application areas of artificial neural networks (ANN).Training neural networks is a complex task in the supervised learning field of research. The main difficulty in adopting ANN is to find the most appropriate combination of learning, transfer and training function for the classification task. We compared the performances of three types of training algorithms in feed forward neural network for brain hematoma classification. In this work we have selected Gradient Descent based backpropagation, Gradient Descent with momentum, Resilence backpropogation algorithms. Under conjugate based algorithms, Scaled Conjugate back propagation, Conjugate Gradient backpropagation with Polak-Riebreupdates(CGP) and Conjugate Gradient backpropagation with Fletcher-Reeves updates (CGF).The last category is Quasi Newton based algorithm, under this BFGS, Levenberg-Marquardt algorithms are selected. Proposed work compared training algorithm on the basis of mean square error, accuracy, rate of convergence and correctness of the classification. Our conclusion about the training functions is based on the simulation results
Authors and Affiliations
Bhavna Sharma
Keywords
Related Articles
- EP ID EP126168
- DOI -
- Views 92
- Downloads 0
Cloud Based Vital Health Stats Monitoring using IoT
Abstract : While there are lot of devices and applications available for monitoring the vital health statistics of human beings, there is still room for enhancement and improvement. This paper’s intention is to address o...
Exploring Different Forms of Trust towards Trusting Intention in Social Media for E-Commerce Purpose
social media has been described as a platform for sharing information, buying and selling of goods and services through the internet. Thus, it has been described as a place where electronic commerce is been t...
Use Map EstimationFor Image Sharpening
This paper presents a various paradigms for estimating a single latent sharp image given multiple blurry and/or noisy observations. Whether employing it to make an unusable image good, a good image better or givi...
Mobile, Secure E - Voting Architecture for the Nigerian ElectoralSystem
Abstract: This work discusses electronic voting for the Nigerian electoral system, modeling a two-levelhierarchical architecture that includes the national and state level infrastructure. This solves most of theele...
Opinion Search and Retrieval from WWW
Opinion retrieval has established itself as an important part of search engines ratings, opinion trends and representative opinions enrich the search experience ofusers when combined with traditional document ret...