An Analysis of Software Reliability Assessment with Neuro-Fuzzy based Expert Systems

designing unmanned aerial vehicle based on neuro-fuzzy systems

در این پایان نامه، کنترل نرو-فازی در پرنده هدایت پذیر از دور (پهپاد) استفاده شده است ابتدا در روش پیشنهادی اول، کنترل کننده نرو-فازی توسط مجموعه اطلاعات یک کنترل کننده pid به صورت off-line آموزش دیده است و در روش دوم یک کنترل کننده نرو-فازی on-line مبتنی بر شناسایی سیستم توسط شبکه عصبی rbf پیشنهاد شده است. سپس کاربرد این کنترل کننده در پهپاد بررسی شده است و مقایسه ای ما بین کنترل کننده های معمو...

Reliability and Sensitivity Analysis of Structures Using Adaptive Neuro-Fuzzy Systems

In this study, an efficient method based on Monte Carlo simulation, utilized with Adaptive Neuro-Fuzzy Inference System (ANFIS) is introduced for reliability analysis of structures. Monte Carlo Simulation is capable of solving a broad range of reliability problems. However, the amount of computational efforts that may involve is a draw back of such methods. ANFIS is capable of approximating str...

Proposing an Efficient Software-based Method to Enhance Reliability of Computer Systems against Soft Errors

In recent years, along with rapid developments in technology, computer systems haveincreasingly become more integrated and more modular. Indeed, the reliability and efficiency ofcomputer systems are of high significance. Hence, the quantitative evaluation of the optimizationof reliability indexes in computer systems is considered to be a crucial issue. Reliabilityenhancement of computer systems...

Software Reliability Assessment by using Neural Networks with Fuzzy Logic based Systems

Software is often a key component of the high technology systems that are so common in modern society. High reliable software is critical both to software industries and the end users of the developed software, and also for the social community generally, because failures of software can cause major disruption to business and can even threaten emergency service. It is a challenge to be able to ...

An Evaluation of the Systems Reliability Using Fuzzy Lifetime Distribution