A Novel Adaptive Neuro-fuzzy Inference System-Differential Evolution (Anfis-DE) Assisted Software Fault-tolerance Methodology in Wireless Sensor Network (WSN)

摘要

Several efforts have been made to develop strategies in order to provide mechanisms that increase the availability, reliability, and maintainability of this type of network. The article introduced the Adaptive Neuro-Fuzzy Inference System (ANFIS) for software fault classification that is hybrid approach. ANFIS can be viewed either as a fuzzy inference system, a neural network or a fuzzy neural network (FNN). Framework is provided for combination of both numerical information and linguistic. This intelligent system is used for modelling and classifying the fault types. The proposed methods give better results in software fault detection in WSNs.