Distributed neural network based on RBF network is used to establish the model of fire detection in view of complexity of fire process and multiplicity of ...

Abstract. Distributed neural network based on RBF network is used to establish the model of fire detection in view of complexity of fire process.

Distributed neural network based on RBF network is used to establish the model of fire detection in view of complexity of fire process and multiplicity of ...

In this paper, logistic regression, neural networks and GA technologies are employed to build prediction models for dwelling fire occurrence. The prediction ...

Application of Distributed GA-Based RBF Neural Network in Fire Detection · Wang, Hairong Yang, Weiguo Jiang, Huiling Wang, Yun · 《Natural Computation (ICNC) ...

This work illustrates a method to predict and evaluate the performance of distributed ANN algorithms by analyzing theperformance of the comparatively simple ...

This study gives an overview for Hopfield neural network and RBF neural network in architectures, the learning processing, and their applications

Additionally, the RBF neural network was used to approximate the function uncertainties of the USV motion system to eliminate the chattering caused by the ...

We present a scoping review of ML applications in wildfire science and management. Our overall objective is to improve awareness of ML methods among wildfire ...

Oct 7, 2024 · Abstract—This paper showcases the use of a reinforcement learning-based Neural Architecture Search (NAS) agent to design.