Model building of growing process of tomato based on RBF neural network and genetic algorithm

Kongzhi yu Juece/Control and Decision

Volumn 20, Issue 6, 2005, Pages 682-685

  Zhang, Juan ^a   Chen, Jie ^a   Wang, Shan Shan ^a  

^a BEIJING INSTITUTE OF TECHNOLOGY   (China)

Author keywords

GA; Modeling; RBF neural network

Indexed keywords

GENETIC ALGORITHMS; GREENHOUSES; NEURAL NETWORKS; RADIAL BASIS FUNCTION NETWORKS;

CAULINE; GROWING PROCESS; MODELING; REAL DATA; TOMATO;

MODEL BUILDINGS;

EID: 22344442866     PISSN: 10010920     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (5)

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4. Vittorio Maniezzo. Genetic evolution of the topology and weight distribution of neural networks[J]. IEEE Trans on Neural Networks, 1994, 5(1): 39-53.
5. Hu H Y, Zhu S W, Zhang D B, et al. Oblique decision tree construction with decimal-coded genetic algorithm[J]. Computer Science, 2001, 28(2): 108-110.