Cybernetic Approach to Modeling Greenhouse Dynamics

C.P. Glackin,; N.H. Siddique,

doi:10.1515/JISYS.2008.17.S1.27

Home Cybernetic Approach to Modeling Greenhouse Dynamics

Article Open Access

Cybernetic Approach to Modeling Greenhouse Dynamics

C.P. Glackin, and N.H. Siddique,

Published/Copyright: December 1, 2008

Download Article (PDF)

Published by

Become an author with De Gruyter Brill

Submit Manuscript Author Information

From the journal Journal of Intelligent Systems Volume 17 Issue Supplement

MLA
APA
Harvard
Chicago
Vancouver

MLA
APA
Harvard
Chicago
Vancouver

Glackin,, C.P. and Siddique,, N.H.. "Cybernetic Approach to Modeling Greenhouse Dynamics" Journal of Intelligent Systems, vol. 17, no. Supplement, 2008, pp. 27-56. https://doi.org/10.1515/JISYS.2008.17.S1.27

Glackin,, C. & Siddique,, N. (2008). Cybernetic Approach to Modeling Greenhouse Dynamics. Journal of Intelligent Systems, 17(Supplement), 27-56. https://doi.org/10.1515/JISYS.2008.17.S1.27

Glackin,, C. and Siddique,, N. (2008) Cybernetic Approach to Modeling Greenhouse Dynamics. Journal of Intelligent Systems, Vol. 17 (Issue Supplement), pp. 27-56. https://doi.org/10.1515/JISYS.2008.17.S1.27

Glackin,, C.P. and Siddique,, N.H.. "Cybernetic Approach to Modeling Greenhouse Dynamics" Journal of Intelligent Systems 17, no. Supplement (2008): 27-56. https://doi.org/10.1515/JISYS.2008.17.S1.27

Glackin, C, Siddique, N. Cybernetic Approach to Modeling Greenhouse Dynamics. Journal of Intelligent Systems. 2008;17(Supplement): 27-56. https://doi.org/10.1515/JISYS.2008.17.S1.27

Copy

Copied to clipboard

BibTeX EndNote RIS

Published Online: 2008-12

Articles in the same Issue

CONTENTS
Editorial: Cybernetic systems: Fuzzy, Neural and Evolutionary Computing Approaches
Nature Inspired Neural Network Ensemble Learning
Cybernetic Approach to Modeling Greenhouse Dynamics
Automatic Regularization of Multilayered-Perceptron Training by Weight Orthogonalization
Genetic Algorithm-based Modeling and Optimization of Control Parameters of an Air Motor
Genetic Programming Control of an Articulated Robotic Manipulator
Genetic Algorithm Optimization and Control System Design of Flexible Structures
Particle Swarm Intelligence to Optimize the Learning of N-tuples
State Estimation Methods for Sound Environment System Based on a Fuzzy Probability Theory

Search journal Search the content of this journal

https://doi.org/10.1515/JISYS.2008.17.S1.27

Creative Commons

BY-NC-ND 3.0

Articles in the same Issue

CONTENTS
Editorial: Cybernetic systems: Fuzzy, Neural and Evolutionary Computing Approaches
Nature Inspired Neural Network Ensemble Learning
Cybernetic Approach to Modeling Greenhouse Dynamics
Automatic Regularization of Multilayered-Perceptron Training by Weight Orthogonalization
Genetic Algorithm-based Modeling and Optimization of Control Parameters of an Air Motor
Genetic Programming Control of an Articulated Robotic Manipulator
Genetic Algorithm Optimization and Control System Design of Flexible Structures
Particle Swarm Intelligence to Optimize the Learning of N-tuples
State Estimation Methods for Sound Environment System Based on a Fuzzy Probability Theory