Applications of Soft Computing in Environmental and Ecological Modelling
The growth of soft computing methodology and its uses is the main emphasis of this paper’s exploration of the growth of soft computing services across various industries. It looks at how to solve complicated setup designs and problems using artificial neural networks, fuzzy logic, and evolutionary algorithms. The study applies soft computing methods in the field of ecology and the environment. It looks at the success stories, the topic of investments used, the efficacy of soft computing across sectors, and the applicability of the findings to actual situations.
Authors
- Dharamvir
- S. B. Javheri (ORCID: https://orcid.org/0000-0001-6163-2464)
- Bijendra Kumar (ORCID: https://orcid.org/0000-0002-5729-8982)
- Deo Karan Ram (ORCID: https://orcid.org/0000-0003-3783-6138)
- Dibyalekha Nayak (ORCID: https://orcid.org/0000-0002-4027-5936)
- M Sri Nikila
Institutions
- Solapur University (IN)
- NIMS University (IN)
- Oxford Dental College and Hospital (IN)
- KIIT University (IN)
- Saveetha University (IN)
Publication Details
- Published
- 2024-09-18
- DOI
- https://doi.org/10.1109/ic3i61595.2024.10829217
- Primary Topic
- Hydrological Forecasting Using AI
- Type
- article
- Field-Weighted Citation Impact
- 0.00