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| Paper category | 碩士論文 |
|---|---|
| Student ID No. | 9125607 |
| Name | 陳俊榮 |
| 標題(中) | 都市擴張預測方法之建立：以類神經網路工具為例 |
| 標題(英) | Using Neural Network Tools to Predict Urban Sprawl |
| Adviser | 林宏嶽 |
| Graduation date | 2005-06 |
| Attached file | |
| Reference link | http://ir.lib.cyut.edu.tw:8080/handle/310901800/1748 |
| Abstract | 鄰避設施如掩埋場、焚化爐等，通常設置於都市邊緣，而都市化的速度加快，都市往往向邊緣區域擴張，使居民與污染場址之間的距離日漸減少，導致可能遭受的健康風險提高，因此了解都市擴張的趨勢是一個值得探討的問題。本研究以類神經網路為模擬工具，進行都市範圍的擴張預測，以瞭解都市擴張的過程。本研究利用地理資訊系統，對影像資料以及其他相關因子加以分類與分析，取得數化資料，作為類神經網路訓練模式之輸入，並藉由類神經網路模擬工具，建構包含倒傳遞網路，自組織映射圖網路以及霍普菲爾網路三種網路模式，進行都市擴張的模擬與預測，並與實 |
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