Predicting the Greenhouse Inside Air Temperature with RBF Neural Networks-Reference-Cited by-同舟云学术

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Predicting the Greenhouse Inside Air Temperature with RBF Neural Networks

Published:2001-08 Issue:11 Volume:34 Page:67-72
ISSN:1474-6670
Container-title:IFAC Proceedings Volumes
language:en
Short-container-title:IFAC Proceedings Volumes

Author:

Ferreira P.M.,Ruano A.E.

Publisher

Elsevier BV

Subject

General Medicine

Reference13 articles.

1. A new look at the statistical model identification;Akaike;IEEE Transactions on Automatic Control,1974

2. Parameter tracking and estimator windup;Astrom,1989

3. Multivariable functional interpolation and adaptive networks;Broomhead;Complex Systems,1988

4. Optimal adaptive K-Means algorithm with dynamic adjustment of learning rate;Chinrungrueng;IEEE Transactions on Neural Networks,1995

5. Dynamic temperature models of a soilless greenhouse;Cunha,1996

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Regularized Extreme Learning Machine-Based Temperature Prediction for Edible Fungi Greenhouse;Applied Engineering in Agriculture;2024

2. Temperature prediction of solar greenhouse based on NARX regression neural network;Scientific Reports;2023-01-28

3. EVOLUTIONARY MULTIOBJECTIVE DESIGN OF RADIAL BASIS FUNCTION NETWORKS FOR GREENHOUSE ENVIRONMENTAL CONTROL;IFAC Proceedings Volumes;2005

4. Greenhouse Air Temperature and Humidity Prediction Based on Improved BP Neural Network and Genetic Algorithm;Advances in Neural Networks – ISNN 2007

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