Title: A collaborative fuzzy-neural approach for forecasting the price of a DRAM product

Authors: Toly Chen

Addresses: Department of Industrial Engineering and Systems Management, Feng Chia University, Taichung City 407, Taiwan

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.

Keywords: DRAM; dynamic random access memory; price forecasting; fuzzy logic; collaborative; neural networks; semiconductors.

DOI: 10.1504/IJTIP.2011.043196

International Journal of Technology Intelligence and Planning, 2011 Vol.7 No.2, pp.95 - 109

Published online: 19 Oct 2011 *

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