Integration of artificial neural networks into an lindenmayer system based plant modeling environment with mathematics

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Article Title:	Integration of artificial neural networks into an lindenmayer system based plant modeling environment with mathematics
Authors:	Suhartono, Mochammad Hariadi, Mauridhi Hery Purnomo
Affiliation:	State Islamic University of Malang, Indonesia Institute Technology Sepuluh Nopember Surabaya, Indonesia
Abstract:	Modeling of the plant growth can be visualized using the approach of Lindenmayer System (L­-System). To make the condition close to the real environment characteristic, it is required the axiom and syntax grammar for the L-System. In this paper, we propose the use of artificial neural networks together with the L­ System method, to model the plant’s growth based on the current environment condition. At the beginning of plant growth, let the sprout of plant initially be denoted as axiom. This characteristic rules are illustrated in the reproduction of L-System also occur in nature of plant growth conditions based on the artificial neural networks. The software used in this modeling is Mathematica. In this research, the growth parameters value is given based on the artificial neural networks, the plant growth is visualized with the L-System method, and the 3-Dimension graph is shown as the virtual plant growth.
Keywords:	L-System, modeling, artificial neural networks, virtual plant growth, visualization
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