發(fā)布時間：2018-04-24 23:28

  本文選題：房地產(chǎn) + 開發(fā)項目��； 參考：《西華大學(xué)》2013年碩士論文

【摘要】：從20世紀80年代至今，我國房地產(chǎn)行業(yè)經(jīng)過30多年的發(fā)展，取得了巨大的成就，成為支柱產(chǎn)業(yè),因此，房地產(chǎn)開發(fā)企業(yè)從中獲得了豐厚的利潤，在巨大的利益驅(qū)使下,成千上萬的私人，集團紛紛加入房地產(chǎn)行業(yè)以及國外許多優(yōu)秀的房地產(chǎn)企業(yè)開始在中國投資。房地產(chǎn)行業(yè)關(guān)聯(lián)著建筑材料行業(yè)、裝修行業(yè)、家具家電行業(yè)等幾十個行業(yè)，目前房地產(chǎn)開發(fā)行業(yè)競爭激烈，同時面臨著國際和國內(nèi)巨大的挑戰(zhàn)。在激烈競爭中生存與發(fā)展是擺在房地產(chǎn)開發(fā)企業(yè)面前一道急需解決的難題。 本文站在房地產(chǎn)開發(fā)企業(yè)的角度，分析了開發(fā)項目成本太高的問題，指出成本太高的原因是成本構(gòu)成里面的土地成本太高。本文通過將影響構(gòu)成土地成本的土地價格的因素分為宏觀因素和微觀因素，分析了宏觀因素和微觀因素對土地價格的影響，其中重點分析了微觀因素對土地價格的影響，提出房地產(chǎn)開發(fā)企業(yè)控制土地成本的措施是采用科學(xué)的方法對土地價格進行預(yù)測，，避免購買時的盲目和沖動等主觀因素造成購買的土地價格過高，導(dǎo)致土地成本太高。 在本文中，借助MATLAB工具箱，運用BP（Back Propagation）神經(jīng)網(wǎng)絡(luò)算法，建立土地價格預(yù)測模型，通過BP神經(jīng)網(wǎng)絡(luò)的對樣本進行訓(xùn)練可以有效地解決微觀因素對土地價格影響。預(yù)測結(jié)果可以比較準確地反映所要購買土地的價格，為房地產(chǎn)開發(fā)企業(yè)在購買土地時提供科學(xué)的參考。利用土地價格預(yù)測模型提供的客觀而準確的分析數(shù)據(jù)，結(jié)合企業(yè)管理水平和企業(yè)目標，制定合理的土地購買方案，可以彌補傳統(tǒng)購買土地時的一些盲目性，從源頭上有效解決土地成本控制的問題。 本論文所建立房地產(chǎn)開發(fā)企業(yè)的土地價格預(yù)測模型，在目前房地產(chǎn)行業(yè)激烈的市場競爭中，不僅能幫助企業(yè)提高開發(fā)項目成本控制的能力，特別是對土地成本的控制能力，增加利潤空間，而且能在一定程度上提高企業(yè)的管理水平，增強競爭能力，對促進房地產(chǎn)企業(yè)和行業(yè)的健康發(fā)展有一定的意義。
[Abstract]:Since 1980s, after more than 30 years' development, China's real estate industry has made great achievements and become a pillar industry. Therefore, real estate development enterprises have obtained rich profits, driven by huge profits. Tens of thousands of private individuals and groups have joined the real estate industry, as well as a number of foreign good real estate companies to invest in China. The real estate industry is related to the construction materials industry, decoration industry, furniture and household appliances industry and dozens of other industries. At present, the real estate development industry is facing fierce competition, while facing international and domestic huge challenges. Survival and development in the fierce competition is an urgent problem for real estate development enterprises. From the angle of real estate development enterprise, this paper analyzes the problem that the cost of development project is too high, and points out that the reason of too high cost is that the cost of land is too high. By dividing the factors that affect the land price which constitute the land cost into macro factors and micro factors, this paper analyzes the influence of macro factors and micro factors on land prices, and focuses on the impact of micro factors on land prices. It is put forward that the measure of controlling land cost in real estate development enterprises is to use scientific method to forecast land price, to avoid the subjective factors such as blindness and impulse in purchasing, which results in too high land price and too high land cost. In this paper, with the help of MATLAB toolbox and BP(Back propagation neural network algorithm, a land price prediction model is established. The influence of microcosmic factors on land price can be effectively solved by training the samples with BP neural network. The forecast results can accurately reflect the price of the land to be purchased and provide a scientific reference for the real estate development enterprises to purchase the land. Using the objective and accurate analysis data provided by the land price forecasting model, combining the enterprise management level and the enterprise goal, making the reasonable land purchase plan can make up for some blindness in the traditional land purchase. Effectively solve the problem of land cost control from the source. The land price forecasting model of the real estate development enterprise established in this paper can not only help the enterprise to improve the ability of cost control of the development project, especially the control ability of the land cost, but also can help the enterprise to improve the ability of controlling the cost of the development project in the current fierce market competition in the real estate industry. Increasing profit space and improving the management level and competition ability of enterprises to a certain extent have certain significance to promote the healthy development of real estate enterprises and industries.
【學(xué)位授予單位】：西華大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2013
【分類號】：TU723.3

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