Hybrid intelligent system for Sale Forecasting using Delphi and adaptive Fuzzy Back-Propagation Neural Networks
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2012, Vol 3, Issue 11
Abstract
Sales forecasting is one of the most crucial issues addressed in business. Control and evaluation of future sales still seem concerned both researchers and policy makers and managers of companies. this research propose an intelligent hybrid sales forecasting system Delphi-FCBPN sales forecast based on Delphi Method, fuzzy clustering and Back-propagation (BP) Neural Networks with adaptive learning rate. The proposed model is constructed to integrate expert judgments, using Delphi method, in enhancing the model of FCBPN. Winter’s Exponential Smoothing method will be utilized to take the trend effect into consideration. The data for this search come from an industrial company that manufactures packaging. Analyze of results show that the proposed model outperforms other three different forecasting models in MAPE and RMSE measures.
Authors and Affiliations
Attariuas Hicham , Bouhorma Mohammed , Sofi Anas
Keywords
Related Articles
- EP ID EP156287
- DOI 10.14569/IJACSA.2012.031120
- Views 102
- Downloads 0
Energy-Aware Virtual Network Embedding Approach for Distributed Cloud
Network virtualization has caught the attention of many researchers in recent years. It facilitates the process of creating several virtual networks over a single physical network. Despite this advantage, however, networ...
Big Data Classification Using the SVM Classifiers with the Modified Particle Swarm Optimization and the SVM Ensembles
The problem with development of the support vector machine (SVM) classifiers using modified particle swarm optimization (PSO) algorithm and their ensembles has been considered. Solving this problem would allow fulfilling...
Reflected Adaptive Differential Evolution with Two External Archives for Large-Scale Global Optimization
JADE is an adaptive scheme of nature inspired algorithm, Differential Evolution (DE). It performed considerably improved on a set of well-studied benchmark test problems. In this paper, we evaluate the performance of new...
PRIVACY-PRESERVING CLUSTERING USING REPRESENTATIVES OVER ARBITRARILY PARTITIONED DATA
The challenge in privacy-preserving data mining is avoiding the invasion of personal data privacy. Secure computa- tion provides a solution to this problem. With the development of this technique, fully homomorphic encry...
Improvement of Data Transmission Speed and Fault Tolerance over Software Defined Networking
Software Defined Networking (SDN) is a new networking paradigm where control plane is decoupled from the forwarding plane. Nowadays, for the development of information technology large number of data traffic has been add...