Applications of Intelligent Model to Analyze the Green Finance for Environmental Development in the Context of Artificial Intelligence.

Journal: Computational intelligence and neuroscience
Published Date: Jul 7, 2022

Abstract

Green finance can be referred to as financial investments made on sustainable projects and policies that focus on a sustainable economy. The procedures include promoting renewable energy sources, energy efficiency, water sanitation, industrial pollution control, transportation pollution control, reduction of deforestation, and carbon emissions, etc. Mainly, these green finance initiatives are carried out by private and public agents like business organizations, banks, international organizations, government organizations, etc. Green finance provides a financial solution to create a positive impact on society and leads to environmental development. In the age of artificial intelligence, all industries adopt AI technologies. In this research, we see the applications of the intelligent model to examine the green finance for ecological advancement with regard to artificial intelligence. Feasible transportation and energy proficiency and power transmission are two significant fields to be advanced and focused on minimizing the carbon impression in these industries. Renewable sources like solar energies for power generation and electric vehicles are to be researched and developed. This R&D requires a considerable fund supply, thus comes the green finance. Globally, green finance plays a vital role in creating a sustainable environment. In this research, for performing the green finance analysis, financial maximally filtered graph (FMFG) algorithm is implemented in different domains. The proposed algorithm is compared with the neural model and observed that the proposed model has obtained 98.85% of accuracy which is higher than the neural model.

Authors

  • D Hemanand
    Department of Computer Science and Engineering, S. A. Engineering College (Autonomous), Poonamallee-Avadi Main Road, Veeraragavapuram, Thiruverkadu, Chennai, India.
  • Nilamadhab Mishra
    Department of Computer Science and Information Engineering, Chang Gung University, Taoyuan, Taiwan, ROC.
  • G Premalatha
    Department of Computer Science and Engineering, Mohamed Sathak A. J College of Engineering, Sipcot IT Park, Siruseri, Chennai 603103, Tamilnadu, India.
  • Dinesh Mavaluru
    Department of Information Technology, College of Computing and Informatics, Saudi Electronic University, Riyadh, Saudi Arabia.
  • Amit Vajpayee
    Chitkara University Institute of Engineering and Technology, Chitkara University, Rajpura, Punjab, India.
  • Sumit Kushwaha
    Department of Computer Applications, University Institute of Computing, Chandigarh University, Mohali, India.
  • Kibebe Sahile
    Department of Chemical Engineering, College of Biological and Chemical Engineering, Addis Ababa Science and Technology University, Addis Ababa, Ethiopia.

Keywords

External Resources

Popular Topics
Recent Journals