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題名:三維人工海洋生態進化計算之研究
作者:郭昭華
作者(外文):Chao-Hua Kuo
校院名稱:南華大學
系所名稱:企業管理系管理科學碩博士班
指導教授:藍俊雄
學位類別:博士
出版日期:2014
主題關鍵詞:人工海洋生態基因演算碎形維度類神經網路Artificial Marine EcologicalGenetic AlgorithmsFractal DimensionNeural Network
原始連結:連回原系統網址new window
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  海洋為地球生物緣起,面積佔地球約70%,生物遠比陸地多源珍貴,為地球最大的維生系統,提供人類新鮮空氣、食物與氣候之調節;惟因人類過度的捕撈及環境的汙染,導致海洋資源不斷的枯竭。為復育地球的海洋資源,近幾年世界各鄰海國不惜巨資,投放已被證實具有吸引海洋生物聚集能力的人工魚礁。惟政府近年來因財政緊縮,且投放人工魚礁,必須進行嚴密的海底探測,選擇合適的地點投放;但海底結構複雜,合適的地點不易選擇,若選擇錯誤,將因魚礁投放所產生之巨大衝擊力,造成海床破壞,並成為海底巨大垃圾,導致近年來已無再投放人工魚礁,惟海洋生態復育不能是口號;本研究以復育海洋生態為前提,應用基因演算建構三維立體多變的人工海洋生態棲息地,提供海洋生物棲息、覓食、成長與繁殖,為避免投放錯誤,且台灣周邊海域中的營養鹽濃度分布,以五-五十公尺深較多,故本研究之人工海洋生態由海平面向下建構,適合布建於台灣周邊海域;另因現階段尚不能準確量化投放效益,本研究再以類神經網路預測不同季節於三維人工海洋生態的魚群數量,量化復育實際成效,達成復育海洋生態、減緩溫室氣體所造成地球暖化之情形,並提供海洋生態觀光,以增進國家經濟的發展。
  The ocean is the origin of life on earth. It approximately occupies seventy percent of the Earth's surface area. The ocean is the largest and most important living system on Earth. It provides human beings with fresh air, sustenance, and plays the role of climate regulation. Its resources are relatively richer and more precious than the land on Earth. However, people’s frequent overfishing and the environment pollution lead to the constant depletion of marine resources. In recent years, nations by the ocean have invested enormous amounts of money in restoring marine resources by constructing artificial reefs which have been shown to be capable of attracting and gathering marine life. It’s not easy to choose the right location. If the artificial reefs are placed in the wrong location, they will become big wastes which destroy the seabed structure. Due to the complicated seafloor topography, the difficult exploration work requires lots of funds to choose a proper location to locate the reefs. Therefore, the construction is actually affected by the government's fiscal austerity. In fact, the policy of deploying artificial reefs is no longer during the promotion in governments now. We all know the marine ecosystem restoration is an imperative, not a slogan. If we forecast the right location accurately, most problems will be saved. In this paper, we apply genetic algorithms to construct 3D artificial marine ecosystems which can adapt to environmental changes to construct habitats for marine life and naturally attract various sea animals to settle and form marine ecosystems. The higher concentration of nutrients in the seawater surrounding Taiwan mostly locates in 5 to 50 meters ocean deep. Therefore, we work on the study of constructing the 3D artificial marine ecosystem below the sea level to fit Taiwan’s coastal waters. Because there have not been any accurate data of quantifying the efficiency and benefit, we apply the neural network to predict the fish quantity of different seasons and quantity the actual results of restoration in the 3D artificial marine ecosystems. This study can be achieved in the marine ecosystem restoration and the global warming mitigation. Most of all, the construction of 3D artificial marine ecosystems will provide the marine eco-tourism, promote diversified developments of marine industries, and further enhance national economic developments.
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