Type: Conference paper
Evolving Fuzzy Neural Network based fire planning in rescue firebrigade agents
Journal: 2025 29th International Computer Conference, Computer Society of Iran, CSICC 2025 ()Year: 2006Volume: Issue: Pages: 74 - 80
Language: English
Abstract
RoboCupRescue Simulation System is a platform for designing and implementing various artificial intelligent issues. In rescue simulation environments, Firebrigades should select fire points in a collaborative manner such that the total achieved result is optimized. In this work, we are going to propose a new method for fire prediction and selection in Firebrigade agents. This method is based on Evolving Fuzzy Neural Networks to obtain a set of trained fuzzy rules as rule base of Firebrigades Fire Selection System to select targets autonomously.
Author Keywords
Evolving Fuzzy Neural NetworksFire selectionFirebrigade agentRoboCupRescue
Other Keywords
Artificial intelligenceComputer simulationFiresArtificial intelligentEvolving fuzzy neural networksFire pointFire predictionRescue simulationRoboCupRescueRoboCupRescue simulationRule baseSelection systemsFuzzy neural networks