Performance Comparison of SVM and ANN in Predicting Compressive Strength of Concrete
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2014, Vol 16, Issue 5
Abstract
Abstract : Concrete compressive strength prediction is very important in structure and building design, particularly in specifying the quality and measuring performance of concrete as well as determination of its mix proportion. The conventional method of determining the strength of concrete is complicated and time consuming hence artificial neural network (ANN) is widely proposed in lieu of this method. However, ANN is an unstable predictor due to the presence of local minima in its optimization objective. Hence, in this paper we have studied the performance of support vector machine (SVM), a stable and robust learning algorithm, in concrete strength prediction and compare the result to that of ANN. It is found that SVM displayed a slightly better performance compared to ANN and is highly stable.
Authors and Affiliations
Kabiru O. Akande, Ssennoga Twaha , Taoreed O. Owolabi , Sunday O. Olatunji
Enhanced Security Model for Cloud Using Ones compliment Re-coding for Fast Scalar multiplication in ECC
Abstract: Cloud computing is a model for enabling convenient, on-demand network access to a shared pool of configurable computing resources (e.g., networks, servers, storage, applications, and services) that can be...
Particle Swarm Optimization based K-Prototype ClusteringAlgorithm
Abstract: Clustering in data mining is a discovery process that groups a set of data so as to maximize the intraclustersimilarity and to minimize the inter-cluster similarity. The K-Means algorithm is best suited f...
Dissemination of Link State Information for Enhancing Security in Mobile Ad Hoc Networks
A mobile adhoc network is a Self-configuring network of mobile routers connected by wireless links. In the mobile adhoc network, each and every device moves independently in any direction so that there are frequent...
Multi-Party Access Control Mechanism in Online Social Networks
Abstract: Social networking is an essential part of life for people around the world these days. Social networking is a form of social media, used for interactive, educational, informational or entertaining purpo...
Customer Relationship Management Using Clustering And Classification Technique
CRM (Customer Relationship Management) is a method and tool that helps organizations to maintain customer relationships in a structured manner. It can help to choose the right people or decide on new products that their...