| Summary: | 碩士 === 國立交通大學 === 工業工程研究所 === 83 === The Study is applied the genetic optimal neural networks to
develop financial analysis model based on the company financial
statements in Taiwan Stock Market. It is expected to completely
disclose the important information hid in financial statements
by combining the power of genetic algorithms and neural
network. According to the financial statements, the financial
analy- sis model proposed by the study constructs five scoring
tables of financial items related to capital structure,
liquidity, operating perforemance, return on investment and
growth analysis respectively. After the knowledge-rules shown
in scoring tables through trianing optimal neural networks
being entirely captured , the data of financial ratio collected
in this study is input to obtain each company''s score in each
financial item. Finally, each company''s score is used to
evaluate company financial health and forecast the earning per
share next year. Ten electronic companies in Taiwan Stock
Market are selected to study as subjects. And the actual
financial data of those ten companies is utilized by the
genetic optimal neural networks to explain how to perform
financial analysis. From the results of this case study, the
financial analysis model proposed by the study is verified
which is feasible to evaluate company financial health.
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