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

【摘要】：近年來(lái),互聯(lián)網(wǎng)金融正以一種蓬勃發(fā)展的勢(shì)頭影響著各行各業(yè),由于其具有方便、快捷的特點(diǎn),對(duì)人們的生活有著深遠(yuǎn)的影響。當(dāng)前,社會(huì)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(wù),在線上業(yè)務(wù)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(xiàng)目進(jìn)行融資,在形式與實(shí)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(dāng)前中小企業(yè)融資難的問(wèn)題提供了一個(gè)很好的思路,同時(shí),也為民眾提供了直接參與金融市場(chǎng)的渠道,豐富了民眾的投資選擇,有利于實(shí)現(xiàn)民間資本與中小企業(yè)的高效對(duì)接,緩解資本市場(chǎng)資金緊缺的壓力。因此研究眾籌模式對(duì)于當(dāng)前我國(guó)經(jīng)濟(jì)有著重要的意義。針對(duì)當(dāng)前我國(guó)眾籌模式以獎(jiǎng)勵(lì)式眾籌為主的特點(diǎn),本文以獎(jiǎng)勵(lì)式眾籌作為研究對(duì)象,正文研究主要分為五個(gè)部分。第一部分,本文對(duì)當(dāng)前我國(guó)獎(jiǎng)勵(lì)式眾籌的融資背景進(jìn)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(duì)前輩學(xué)者的研究加以總結(jié)并詳細(xì)介紹了本文研究中所涉及的理論;第三部分,對(duì)于本文研究對(duì)象獎(jiǎng)勵(lì)式眾籌的要素以及眾籌模式做了重點(diǎn)介紹并從信息不對(duì)稱(chēng)性理論、期望理論和羊群效應(yīng)理論出發(fā)分析出當(dāng)前影響眾籌融資成功的五個(gè)突出影響因素,分別是項(xiàng)目經(jīng)濟(jì)性因素、能力信任因素、信息質(zhì)量因素、項(xiàng)目規(guī)模因素以及社會(huì)網(wǎng)絡(luò)因素;第四部分,本文根據(jù)五大影響因素結(jié)合“摩點(diǎn)網(wǎng)”的相關(guān)眾籌項(xiàng)目數(shù)據(jù)選取出相應(yīng)的九大變量指標(biāo),分別為項(xiàng)目人微博粉絲數(shù)、項(xiàng)目人歷史支持過(guò)的項(xiàng)目數(shù)、項(xiàng)目人歷史發(fā)起的項(xiàng)目數(shù)、項(xiàng)目是否具有視頻介紹、項(xiàng)目更新次數(shù)、籌資時(shí)間、項(xiàng)目最小單位的籌資額、回報(bào)方式數(shù)目以及眾籌目標(biāo)籌資額。利用歸一化對(duì)數(shù)據(jù)進(jìn)行標(biāo)準(zhǔn)化處理,代入GA-BP神經(jīng)網(wǎng)絡(luò)構(gòu)建出一個(gè)獎(jiǎng)勵(lì)式眾籌融資預(yù)測(cè)評(píng)價(jià)模型,并通過(guò)實(shí)驗(yàn)測(cè)試驗(yàn)證模型的精確性;最后,本文對(duì)于全文成果加以總結(jié)并給出相關(guān)建議。本文的創(chuàng)新之處在于將理論研究與實(shí)證分析相結(jié)合,利用遺傳算法和BP神經(jīng)網(wǎng)絡(luò)原理構(gòu)建GA-BP預(yù)測(cè)模型,對(duì)于當(dāng)前我國(guó)的獎(jiǎng)勵(lì)式眾籌模式進(jìn)行深度地解讀,因此可以為眾籌項(xiàng)目方獲取眾籌成功提供一定的指導(dǎo)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(xué)位授予單位】：上海師范大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類(lèi)號(hào)】：F832.51;F724.6

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 楊揚(yáng);Chun-Ta LU;王菲菲;許進(jìn);Philip S.YU;;眾籌項(xiàng)目的社交網(wǎng)絡(luò)影響力預(yù)測(cè)與分析[J];西安交通大學(xué)學(xué)報(bào);2017年04期

2 熊熊;陳偉雄;何楓;;眾籌行業(yè)現(xiàn)狀研究述評(píng)[J];昆明理工大學(xué)學(xué)報(bào)(自然科學(xué)版);2016年05期

3 陳躍躍;楊們;;試論眾籌投資者對(duì)優(yōu)質(zhì)項(xiàng)目的有效識(shí)別——以“人人投”眾籌平臺(tái)為研究對(duì)象[J];商業(yè)經(jīng)濟(jì)研究;2016年12期

4 李雅婷;左文明;;眾籌項(xiàng)目籌資結(jié)果預(yù)測(cè)模型[J];統(tǒng)計(jì)與決策;2016年02期

5 岳中剛;周勤;楊小軍;;眾籌融資、信息甄別與市場(chǎng)效率——基于人人貸的實(shí)證研究[J];經(jīng)濟(jì)學(xué)動(dòng)態(tài);2016年01期

6 吳喜雁;周建波;;大眾參與眾籌投資決策影響因素分析[J];科技進(jìn)步與對(duì)策;2015年24期

7 曹姍姍;孫偉;劉鵬舉;唐小明;;基于GA-BP神經(jīng)網(wǎng)絡(luò)的灌木生物量估測(cè)模型[J];西北農(nóng)林科技大學(xué)學(xué)報(bào)(自然科學(xué)版);2015年12期

8 王潔;;基于眾籌視角的文化創(chuàng)意產(chǎn)業(yè)融資分析[J];科技經(jīng)濟(jì)導(dǎo)刊;2015年13期

9 姚仲敏;潘飛;沈玉會(huì);吳金秋;于曉紅;;基于GA-BP和POS-BP神經(jīng)網(wǎng)絡(luò)的光伏電站出力短期預(yù)測(cè)[J];電力系統(tǒng)保護(hù)與控制;2015年20期

10 張李楊;;眾籌——“互聯(lián)網(wǎng)+”時(shí)代的新亮點(diǎn)[J];產(chǎn)權(quán)導(dǎo)刊;2015年08期

，

本文編號(hào)：1937342