碩士 / 國立勤益科技大學 / 工業工程與管理系 / 101 / Taiwan, which possesses cutting-edge industries, lacking for natural resources, and dominating the field in semiconductors, optoelectronics, information, communications, electronics precision manufacturing technology. In recent years, with the rapid growth of international trade and the competitive environment, inbound and outbound passengers and volume of imported goods are increasing. In addition to execution levied on tariffs and preventing smuggling, Customs officers must perform border control measures, such as national security, quarantine, environmental protection, protection of intellectual property rights, etc. Using scientific management methods, construction of preventing smuggling expert system, knowledge management, and purchasing high-tech equipment can relieve customs officers on tasks burden.
This study integrated genetic algorithms with neural network to construct a smuggling case classification and import tariffs prediction model which provide Customs expert system a decision-making tool and enhance the performance.
| Identifer | oai:union.ndltd.org:TW/101NCIT5041042 |
| Date | January 2013 |
| Creators | Tung-Jung Hsu, 許東榮 |
| Contributors | Tzu-Chiang Liu, 劉自強 |
| Source Sets | National Digital Library of Theses and Dissertations in Taiwan |
| Language | zh-TW |
| Detected Language | English |
| Type | 學位論文 ; thesis |
| Format | 45 |
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