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

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Author(s): Chen Quan (KEYI College of Zhejiang Sci-Tech University, China)and Baoli Lu (University of Portsmouth, UK)
Copyright: 2024
Volume: 36
Issue: 1
Pages: 22
Source title: Journal of Organizational and End User Computing (JOEUC)
Editor(s)-in-Chief: Sangbing (Jason) Tsai (International Engineering and Technology Institute (IETI), Hong Kong)and Wei Liu (Qingdao University, China)
DOI: 10.4018/JOEUC.335081

Keywords: Computer Science & IT / End-User Computing / Human-Computer Interaction / Information Science Reference

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Abstract

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

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