A collaborative fuzzy-neural approach for forecasting the price of a DRAM product. (20th October 2011)

• Record Type: Journal Article
• Authors: Chen, Toly
• Is Part Of: International journal of technology intelligence and planning. Volume 7:Number 2(2011)
• Page Start: 95
• Page End: 109
• Publication Date: 2011-10-20
• Subjects: DRAM -- dynamic random access memory -- price forecasting -- fuzzy logic -- collaborative -- neural networks -- semiconductors; Technological innovations -- Periodicals; Research, Industrial -- Periodicals; Knowledge management -- Periodicals; 658.403805
• Languages: English
• ISSNs: 1740-2832

Abstract

This paper presents a collaborative fuzzy-neural approach for accurately and precisely forecasting the price of a Dynamic Random Access Memory (DRAM) product, which is considered as one of the most important semiconductors widely used in various applications. In the collaborative fuzzy-neural approach, some experts from the application domain are invited to form a council. For some aspects, these experts put forward different points of view. These views are incorporated into the Back Propagation Network and Nonlinear Programming (BPN-NP) approach, and result in different fuzzy-valued price forecasts. To derive a single representative value from these fuzzy price forecasts, the Fuzzy Intersection and Radial Basis Function network (FI-RBF) approach is employed. The effectiveness of the collaborative fuzzy-neural approach is validated with a real example containing the 256-day price data of a 1G DRAM product.