Yung-Yu Lin

National Chin-Yi University of Technology

Papers

Total Citations

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About

Yung-Yu Lin is a researcher whose work bridges computational intelligence and financial data analysis, with a particular focus on predictive modeling in stock markets. His most cited paper, "The prediction system for data analysis of stock market by using Genetic Algorithm" (2015), has garnered 8 citations and stands as a key contribution to the field. In this work, Lin addresses a critical gap in financial forecasting: while much literature exists on stock prediction, few studies provide concrete, actionable guidance for investors navigating complex market data. By integrating Genetic Algorithms—a class of evolutionary computation inspired by natural selection—Lin developed a system capable of optimizing data analysis for more accurate market predictions. This approach enhances the ability to extract meaningful patterns from vast datasets, offering investors a robust tool for profit-driven decision-making. Lin’s research is particularly valuable for its practical orientation, moving beyond theoretical frameworks to deliver a systematic methodology for real-world application. His work underscores the growing importance of data-driven strategies in finance, making him a notable figure in the intersection of artificial intelligence and economic analysis. For students and researchers exploring computational finance, Lin’s contributions highlight how evolutionary algorithms can transform raw market data into strategic insights.