Evolving Neural Networks for Forest Fire Control

Cooperative Co-Evolving Neural Networks for Robosoccer Simulation

Evolving Spiking Neural Networks in the GReaNs (Gene Regulatory evolving artificial Networks) Plaftorm

GReaNs (which stands for Genetic Regulatory evolving artificial Networks) is an artificial life software platform that has previously been used for modeling of evolution of gene regulatory networks able to process signals, control animats and direct multicellular development in two and three dimensions. The structure of the network in GReaNs is encoded in a linear genome, without imposing any r...

An Intelligent System For Effective Forest Fire Detection Using Spatial Data

The explosive growth of spatial data and extensive utilization of spatial databases emphasize the necessity for the automated discovery of spatial knowledge. In modern times, spatial data mining has emerged as an area of voluminous research. Forest fires are a chief environmental concern, causing economical and ecological damage while endangering human lives across the world. The fast or early ...

پیش بینی وقوع آتش سوزی در جنگل ها و مراتع با استفاده از شبکه عصبی مصنوعی(مطالعه موردی: جنگل‌های منطقه زاگرس، شهرستان ایذه)

There is no doubt that climatic factors are one of significant parameters in occurrence of natural fires in forest and range ecosystems. The goal of this study was a monthly-based prediction of the occurrence of the natural fires using artificial neural networks in Izeh, north-west of Khuzestan province. The natural fire occurrence data including date of the occurrence, the burned area and numb...

Applying Decision Tree Algorithm and Neural Networks to Predict Forest Fires in Lebanon

Fires have been threatening green forestry all over the world. In Lebanon, green areas declined dramatically during the last decades, what imposes an urgent intervention with strict governmental policies and support of non-governmental organizations. The orientation is towards techniques that predict high fire risks, allowing for precautions to preclude fire occurrences or at least limit their ...