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Prediction of Daily Climate Using Long Short-Term Memory (LSTM) Model

📅 July 12, 2024 👤 Jinxin Xu, Zhuoyue Wang, Xinjin Li et al. 📖 International Journal of Innovative Science and Research Technology (IJISRT) 📊 974 citations

🤖 Plain-English Summary

This study investigates Prediction of Daily Climate Using Long Short-Term Memory (LSTM) Model. The research draws on peer-reviewed data to explore emerging patterns and conclusions in the field of Artificial Intelligence, advancing current understanding with new empirical evidence.

🔑 Key Findings

  • Researchers present data-driven insights with measurable outcomes in ai.
  • Study establishes new benchmarks for comparison with existing literature.
  • Findings contribute evidence toward improved practices and further investigation.

💡 Why This Matters

This research advances how AI systems learn and solve problems — with direct implications for software, automation, and scientific discovery.

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📋 Article Details

Category 🤖 Artificial Intelligence
Published Jul 12, 2024
Journal International Journal of Innovative Science and Research Technology (IJISRT)
Authors Jinxin Xu, Zhuoyue Wang, Xinjin Li, Zichao Li
DOI 10.38124/ijisrt/ijisrt24jul073
Citations 974
Source OpenAlex

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