Hypermedia Web Software Effort Estimate with Adaptive Neuro Fuzzy Inference System
نویسنده
چکیده
Accurate software cost estimates are an important factor in the stability of the software companies in the world competitive and efficient use of resources. Nature and structure of web applications is quite different from traditional software. In 2003, The estimated cost of hypermedia web projects was based on seven features were obtained best results, using case base reasoning (CBR) using Stepwise Regression approaches with MMRE on 37 web hypermedia projects. We considered count of html, count of media files and count of inner links features, presented in this paper proposed approach to reduce predicted effort Error than the actual amount for web hypermedia projects and calculate average relative deviations (AAD), through adaptive neuro fuzzy system (ANFIS) Method that is achieved better and more accurate results.
منابع مشابه
An Adaptive Neuro Fuzzy Inference System for Supply chain Agility Evaluation
Nowadays, in turbulent and violate global markets, agility has been considered as a fundamental characteristic of a supply chain needed for survival. To achieve the competitive edge, companies must align with suppliers and customers to streamline operations, as well as agility beyond individual companies. Consequently Agile Supply Chain (ASC) is considered as a dominant competitive advantage. ...
متن کاملAdaptive neuro-fuzzy inference system (ANFIS) applied for spectrophotometric determination of fluoxetine and sertraline in pharmaceutical formulations and biological fluid
The UV-spectrophotometric method of analysis was proposed for simultaneous determination of fluoxetine (FLX) and sertraline (SRT). Considering the strong spectral overlap between UV-Vis spectra of these compounds, a previous separation should be carried out in order to determine them by conventional spectrophotometric techniques. Here, full-spectrum multivariate calibrations adaptive neuro-fuzz...
متن کاملVoting Algorithm Based on Adaptive Neuro Fuzzy Inference System for Fault Tolerant Systems
some applications are critical and must designed Fault Tolerant System. Usually Voting Algorithm is one of the principle elements of a Fault Tolerant System. Two kinds of voting algorithm are used in most applications, they are majority voting algorithm and weighted average algorithm these algorithms have some problems. Majority confronts with the problem of threshold limits and voter of weight...
متن کاملVoting Algorithm Based on Adaptive Neuro Fuzzy Inference System for Fault Tolerant Systems
some applications are critical and must designed Fault Tolerant System. Usually Voting Algorithm is one of the principle elements of a Fault Tolerant System. Two kinds of voting algorithm are used in most applications, they are majority voting algorithm and weighted average algorithm these algorithms have some problems. Majority confronts with the problem of threshold limits and voter of weight...
متن کاملAdaptive Neuro-Fuzzy Inference System application for hydrothermal alteration mapping using ASTER data
The main problem associated with the traditional approach to image classification for the mapping of hydrothermal alteration is that materials not associated with hydrothermal alteration may be erroneously classified as hydrothermally altered due to the similar spectral properties of altered and unaltered minerals. The major objective of this paper is to investigate the potential of a neuro-fuz...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2016