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Can I read Hybrid Model Using Interacted-ARIMA and ANN Models for Efficient Forecasting on EtoBox?
Hybrid Model Using Interacted-ARIMA and ANN Models for Efficient Forecasting by T. Baskaran; Nimitha John; B. V Dhandra is a computer science book available to read on EtoBox.
What is Hybrid Model Using Interacted-ARIMA and ANN Models for Efficient Forecasting about?
The 47 full papers and 24 short papers included in this book were carefully reviewed and selected from 245 submissions. These articles cater to the most contemporary and happening topics in the fields of AI that range from Intelligent Recommendation Systems, Game Theory, Computer Vision, Reinforcement Learning, Social Networks, and Generative AI to Conversational and Large Language Models. <br>They are organized into four areas of research: Theoretical contributions, Cognitive Computing models,
Who reads Hybrid Model Using Interacted-ARIMA and ANN Models for Efficient Forecasting?
It is typically read by working professionals who need an authoritative practice reference.
Common subject areas: medicine, law, business, engineering.
- Author
- T. Baskaran; Nimitha John; B. V Dhandra
- Publisher
- Springer International Publishing
- Published
- 2023
- Language
- EN
- ISBN
- 9783031364020
- Category
- computer science
- Subjects
- Computer Science, Science, Technology
- Updated
- 2026-03-25
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