A Comparison of Predictive Models for Rice Imports in Iraq: Artificial Neural Networks vs. Traditional Techniques-Reference-Cited by-同舟云学术

A Comparison of Predictive Models for Rice Imports in Iraq: Artificial Neural Networks vs. Traditional Techniques

Published:2023-07-19 Issue: Volume: Page:
ISSN:
Container-title:2023 3rd International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME)
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Author:

Hameed Ashour Marwan Abdul¹,Abbas Rabab Alayham²

Affiliation:

1. University of Baghdad,Dept. Statistics,Baghdad,Iraq

2. University Shah Alam,Dept. Computer Scince Management & Science,Malasia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10252163/10252090/10252366.pdf?arnumber=10252366

Reference21 articles.

1. Optimized Artificial Neural network models to time series

2. Bitcoin prediction with a hybrid model;abdul;Original Research,2023

3. research-on-the-strategy-of-locating-abnormal-data-in-iot-management-platform-based-on-improved-modified-particle-swarm-optimization-convolutional-neural-network-algorithm Research on the strategy of locating abnormal data in IOT management platform based on improved modified particle swarm optimization convolutional neural network algorithm;liu,2023

4. Next-Day Bitcoin Price Forecast

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