有哪些信誉好的足球投注网站an agent-based fuzzy collaborative intelligence approach for predicting the price of a dynamic random access memory (dram) product一个基于主体的模糊协同智能方法预测的价格动态随机存取记忆体(dram)产品.pdfVIP
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an agent-based fuzzy collaborative intelligence approach for predicting the price of a dynamic random access memory (dram) product一个基于主体的模糊协同智能方法预测的价格动态随机存取记忆体(dram)产品
Algorithms 2012, 5, 304-317; doi:10.3390/a5020304
OPEN ACCESS
algorithms
ISSN 1999-4893
/journal/algorithms
Article
An Agent-Based Fuzzy Collaborative Intelligence Approach for
Predicting the Price of a Dynamic Random Access Memory
(DRAM) Product
Toly Chen
Department of Industrial Engineering and Systems Management, Feng Chia University,
Taichung City, 407 Taiwan; E-Mail: tolychen@; Tel.: 886-4
Fax: 886-4
Received: 9 April 2012; in revised form: 7 May 2012 / Accepted: 9 May 2012 /
Published: 24 May 2012
Abstract: Predicting the price of a dynamic random access memory (DRAM) product is a
critical task to the manufacturer. However, it is not easy to contend with the uncertainty of
the price. In order to effectively predict the price of a DRAM product, an agent-based
fuzzy collaborative intelligence approach is proposed in this study. In the agent-based
fuzzy collaborative intelligence approach, each agent uses a fuzzy neural network to
predict the DRAM price based on its view. The agent then communicates its view and
forecasting results to other agents with the aid of an automatic collaboration mechanism.
According to the experimental results, the overall performance was improved through the
agents’ collaboration.
Keywords: fuzzy collaborative intelligence; dynamic random access memory; prediction;
agent; price
1. Introduction
Dynamic random access memory (DRAM) manufacturing is a very competitive industr
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