本文選題：眾籌 + 遺傳算法��； 參考：《上海師范大學》2017年碩士論文

【摘要】：近年來,互聯(lián)網(wǎng)金融正以一種蓬勃發(fā)展的勢頭影響著各行各業(yè),由于其具有方便、快捷的特點,對人們的生活有著深遠的影響。當前,社會已經(jīng)形成了“互聯(lián)網(wǎng)+”的大背景,互聯(lián)網(wǎng)金融不僅幫助完善線下業(yè)務,在線上業(yè)務的模式上也有很多創(chuàng)新。作為互聯(lián)網(wǎng)金融的產(chǎn)物,眾籌模式利用互聯(lián)網(wǎng)幫助某一特定項目進行融資,在形式與實踐上都與以往的投融資模式有著很大的區(qū)別。由于眾籌網(wǎng)站的便捷性和廣泛性,為當前中小企業(yè)融資難的問題提供了一個很好的思路,同時,也為民眾提供了直接參與金融市場的渠道,豐富了民眾的投資選擇,有利于實現(xiàn)民間資本與中小企業(yè)的高效對接,緩解資本市場資金緊缺的壓力。因此研究眾籌模式對于當前我國經(jīng)濟有著重要的意義。針對當前我國眾籌模式以獎勵式眾籌為主的特點,本文以獎勵式眾籌作為研究對象,正文研究主要分為五個部分。第一部分,本文對當前我國獎勵式眾籌的融資背景進行了分析,并指明了本文的研究意義以及研究思路;第二部分,本文對前輩學者的研究加以總結并詳細介紹了本文研究中所涉及的理論;第三部分,對于本文研究對象獎勵式眾籌的要素以及眾籌模式做了重點介紹并從信息不對稱性理論、期望理論和羊群效應理論出發(fā)分析出當前影響眾籌融資成功的五個突出影響因素,分別是項目經(jīng)濟性因素、能力信任因素、信息質(zhì)量因素、項目規(guī)模因素以及社會網(wǎng)絡因素;第四部分,本文根據(jù)五大影響因素結合“摩點網(wǎng)”的相關眾籌項目數(shù)據(jù)選取出相應的九大變量指標,分別為項目人微博粉絲數(shù)、項目人歷史支持過的項目數(shù)、項目人歷史發(fā)起的項目數(shù)、項目是否具有視頻介紹、項目更新次數(shù)、籌資時間、項目最小單位的籌資額、回報方式數(shù)目以及眾籌目標籌資額。利用歸一化對數(shù)據(jù)進行標準化處理,代入GA-BP神經(jīng)網(wǎng)絡構建出一個獎勵式眾籌融資預測評價模型,并通過實驗測試驗證模型的精確性;最后,本文對于全文成果加以總結并給出相關建議。本文的創(chuàng)新之處在于將理論研究與實證分析相結合,利用遺傳算法和BP神經(jīng)網(wǎng)絡原理構建GA-BP預測模型,對于當前我國的獎勵式眾籌模式進行深度地解讀,因此可以為眾籌項目方獲取眾籌成功提供一定的指導建議。
[Abstract]:In recent years, Internet finance is affecting all kinds of industries with a vigorous development momentum, because of its convenient and fast characteristics, it has a profound impact on people's lives. At present, the society has formed the "Internet" background, Internet finance not only helps to improve offline business, online business model also has a lot of innovation. As a product of Internet finance, crowdfunding mode uses the Internet to help a particular project to finance, which is different from the previous investment and financing mode in form and practice. Because of the convenience and extensiveness of crowdfunding websites, it provides a good way of thinking for the current problem of financing difficulties for small and medium-sized enterprises. At the same time, it also provides a channel for the public to directly participate in the financial market and enriches the investment choices of the people. It is beneficial to realize the efficient docking between private capital and small and medium-sized enterprises and relieve the pressure of capital market capital shortage. Therefore, the study of crowdfunding mode for the current economy has an important significance. In view of the characteristics of the current crowdfunding model in our country, this paper takes the reward crowdfunding as the research object, the main body of the study is divided into five parts. In the first part, the paper analyzes the financing background of incentive crowdfunding in our country, and points out the significance of the research and the research ideas; the second part, This paper summarizes the previous scholars' research and introduces the theories involved in this research in detail. The third part focuses on the research object, the elements of reward crowdfunding and the model of crowdfunding, and introduces the theory of information asymmetry from the point of view of the theory of information asymmetry. Based on expectation theory and herding theory, this paper analyzes the five outstanding factors that affect the success of crowdfunding, namely, project economy, ability and trust, information quality, project scale and social network. In the fourth part, according to the five influential factors and the relevant crowdfunding project data of "friction Point Network", this paper selects the corresponding nine variables, which are the number of Weibo fans and the number of projects supported by the project owner in history. The number of projects initiated by the project person, whether the project has a video introduction, the number of project updates, the time of raising funds, the amount of funding of the smallest unit of the project, the number of returns and the amount of funds raised by the crowdfunding target. Standardized processing of data is used to construct a model for predicting and evaluating reward crowdfunding by means of GA-BP neural network, and the accuracy of the model is verified by experimental tests. This article summarizes the full text achievement and gives the related suggestion. The innovation of this paper lies in the combination of theoretical research and empirical analysis, using genetic algorithm and BP neural network principle to construct GA-BP prediction model, and to deeply interpret the reward crowdfunding model in our country. Therefore, we can provide certain guidance suggestions for public-funded projects to obtain crowdfunding success.
【學位授予單位】：上海師范大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：F832.51;F724.6

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