Enhancing Innovation Management and Venture Capital Evaluation via Advanced Deep Learning Techniques

被引:0
作者
Quan, Chen [1 ]
Lu, Baoli [2 ]
机构
[1] Zhejiang Sci Tech Univ, KEYI Coll, Hangzhou, Peoples R China
[2] Univ Portsmouth, Portsmouth, England
关键词
CNN; Deep Learning; GRU; GTO; Innovation Management; Risk Investment Assessment; RNN; Venture Capital Evaluation; NETWORKS;
D O I
10.4018/JOEUC.335081
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Innovation management involves planning, organizing, and controlling innovation within an organization, while venture capital evaluation assesses investment opportunities in startups and early-stage companies. Both fields require effective decision-making and data analysis. This study aims to enhance innovation management and venture capital evaluation by combining CNN and GRU using deep learning. The approach consists of two steps. First, the authors build a deep learning model that fuses CNN and GRU to analyze diverse data sources like text, finance, market trends, and social media sentiment. Second, they optimize the model using the gorilla troop optimization (GTO) algorithm, inspired by gorilla behavior. GTO efficiently explores the solution space to find optimal or near-optimal solutions. The authors compare the fused CNN-GRU model with traditional methods and evaluate the GTO algorithm's performance. The results demonstrate improvements in innovation management and venture capital evaluation.
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页数:22
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