【摘要】：光電產(chǎn)業(yè)作為戰(zhàn)略性新興產(chǎn)業(yè)，近年來在廈門得到了快速的發(fā)展，并已成為廈門地區(qū)的支柱性產(chǎn)業(yè)，對當?shù)卣w經(jīng)濟的發(fā)展產(chǎn)生著重要的推動作用，所以對廈門光電產(chǎn)業(yè)發(fā)展相關問題的研究將有很重要的現(xiàn)實意義。本文試圖通過對廈門光電產(chǎn)業(yè)的研究，預測其未來發(fā)展趨勢，深入挖掘廈門光電產(chǎn)業(yè)發(fā)展的規(guī)律及其發(fā)展過程中的關鍵影響因素，找出廈門光電產(chǎn)業(yè)發(fā)展過程中存在的問題，并以此為依據(jù)為產(chǎn)業(yè)發(fā)展政策的制定提供參考。 本文從產(chǎn)業(yè)競爭力的角度出發(fā)分析光電產(chǎn)業(yè)發(fā)展的影響因素，應用灰色關聯(lián)分析及灰色關聯(lián)聚類對臺灣光電產(chǎn)業(yè)發(fā)展的相關數(shù)據(jù)進行實證分析，挑選出對光電產(chǎn)業(yè)發(fā)展具有關鍵性影響作用的因素指標，并建立臺灣光電產(chǎn)業(yè)的BP神經(jīng)網(wǎng)絡預測模型，以此模型為基礎，在保持網(wǎng)絡結構不變的前提下對其進行調(diào)整后建立了廈門光電產(chǎn)業(yè)的預測模型，還將這個新模型的預測效果與灰色預測模型進行了比較分析，，最后使用MIV分析了影響廈門光電產(chǎn)業(yè)發(fā)展的各主要因素的作用強度，并提出了提升廈門光電產(chǎn)業(yè)競爭力的針對性對策。 通過本文的研究得到了以下幾點關鍵性的結論：（1）廈門光電產(chǎn)業(yè)的發(fā)展與臺灣光電產(chǎn)業(yè)的發(fā)展具有相似性，遵循著共同的規(guī)律性；（2）新建立的廈門光電產(chǎn)業(yè)神經(jīng)網(wǎng)絡預測模型具有很好的預測精度，比灰色預測模型具有更大的優(yōu)越性；（3）對外貿(mào)易是影響廈門光電產(chǎn)業(yè)發(fā)展的最重要因素，其次是科技人員。這些結論將為廈門光電產(chǎn)業(yè)發(fā)展戰(zhàn)略的制定提供有益的指導作用。
[Abstract]:As a strategic emerging industry, optoelectronic industry has been developing rapidly in Xiamen in recent years, and has become a pillar industry in Xiamen, which plays an important role in promoting the development of the local economy as a whole. Therefore, the study on the development of optoelectronic industry in Xiamen will be of great practical significance. This paper attempts to forecast the future development trend of Xiamen optoelectronic industry through the research of Xiamen optoelectronic industry, deeply excavate the law of Xiamen optoelectronic industry development and the key influencing factors in its development process, and find out the problems existing in the process of Xiamen optoelectronic industry development. And this as the basis for industrial development policy to provide reference. This paper analyzes the influencing factors of the development of optoelectronic industry from the point of view of industrial competitiveness, and makes an empirical analysis of the relevant data of the development of optoelectronic industry in Taiwan by using grey correlation analysis and grey correlation clustering. Select the factors that have a key effect on the development of optoelectronic industry, and set up a BP neural network prediction model for Taiwan's optoelectronic industry, which is based on this model. On the premise of keeping the network structure unchanged, the prediction model of Xiamen optoelectronic industry is established, and the prediction effect of this new model is compared with that of grey forecasting model. Finally, the paper analyzes the action intensity of the main factors influencing the development of optoelectronic industry in Xiamen by using MIV, and puts forward some countermeasures to enhance the competitiveness of optoelectronic industry in Xiamen. The key conclusions are as follows: (1) the development of optoelectronic industry in Xiamen is similar to that in Taiwan and follows the same rules; (2) the newly established forecasting model of Xiamen photoelectric industry neural network has good prediction accuracy and has more advantages than the grey forecasting model; (3) Foreign trade is the most important factor affecting the development of optoelectronic industry in Xiamen, followed by scientific and technological personnel. These conclusions will provide useful guidance for the development strategy of optoelectronic industry in Xiamen.
【學位授予單位】：華僑大學
【學位級別】：碩士
【學位授予年份】：2013
【分類號】：F426.61;F224

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