نتایج جستجو برای: multi level fuzzy inference model

تعداد نتایج: 3392804  

2014
Alexandros Kitsikidis Kosmas Dimitropoulos Erdal Yilmaz Stella Douka Nikolaos Grammalidis

In this paper, we describe a novel methodology for dance learning and evaluation using multi-sensor and 3D gaming technology. The learners are captured during dancing, while an avatar visualizes their motion using fused input from multiple sensors. Motion analysis and fuzzy-logic are employed for the evaluation of the learners’ performance against the performance of an expert. Specifically, a t...

2015
Hirofumi Miyajima Hiromi Miyajima

Many studies on modeling of fuzzy inference systems have been made. The issue of these studies is to construct automatically fuzzy systems with interpretability and accuracy from learning data based on meta-heuristic methods. Since accuracy and interpretability are contradicting issues, there are some disadvantages for self-tuning method. Obvious drawbacks of the method are lack of interpretabi...

Ganja Veera Pratap Singh Kambagowni Venkata Subbaiah Kandukuri Narayana Rao

Nowadays, customer expectations are increasing and organizations are prone to operate in an uncertain environment. Under this uncertain environment, the ultimate success of the firm depends on its ability to integrate business processes among supply chain partners. Supply chain management emphasizes cross-functional links to improve the competitive strategy of organizations. Now, companies are ...

A three-level relief chain including a number of suppliers in fixed locations, candidate distribution centers and affected areas at certain points are considered. A mixed integer nonlinear programming model is proposed for open transportation location routing problem by considering split delivery of demand. To solve a realistic problem, foregoing parameters are considered as fuzzy in our propos...

Multi-walled carbon nanotubes (CNTs) are synthesized with the assistance of water vapor in a horizontal reactor using methane over Co-Mo/MgO catalyst through chemical vapor deposition method. The application of Adaptive Neuro-Fuzzy Inference System (ANFIS) technique for modeling the effect of important parameters (i.e. temperature, reaction time and amount of H2O vapor) on the qualit...

Journal: :تحقیقات کاربردی خاک 0
ایمان صالح دانشگاه علوم کشاورزی و منابع طبیعی ساری عطااله کاویان دانشگاه علوم کشاورزی و منابع طبیعی ساری زینب جعفریان دانشگاه علوم کشاورزی و منابع طبیعی ساری رضا احمدی دانشگاه علوم کشاورزی و منابع طبیعی ساری

infiltration plays an important role in surface and subsurface hydrology and it is a key factor in the rainfall and runoff equations. the use of new approaches that have no limitations of common theoretical and empirical methods to determine infiltration relationships, will minimize the necessity of time consuming and costly experiments to determine permeability values and will make it possible...

Journal: :Serbian Journal of Electrical Engineering 2023

Multi-level inverters (MLIs) have been successfully used to integrated the renewable energy sources (RES) into microgrids. However, operation of MLI is affected when an open circuit fault (OCF) or a short occurs. Among these kinds faults, there high prevalence faults in MLI. Any must be identified and classified as soon possible maintain reliability power supply. This work focused on developing...

Journal: :Intelligent Automation and Soft Computing 2022

Present day healthcare sector is frequently victimized by the intruders. Healthcare data industry has borne brunt of highest number breach episodes in last few years. The key reason for this attributed to sensitivity and high costs entailed trading over dark web. Hence, usable-security evaluation information systems need hour so as identify vulnerabilities provide preventive measures a shield a...

2005
Soumya Banerjee Ajith Abraham Crina Grosan

In any business organization, the project managers have to execute several critical decisions at each level according to the organizational hierarchy. New product and technology development and positioning encompasses most crucial activity for the existence of any concern in a competitive business model. The decisions involved in these processes are extremely uncertain and requires plenty of st...

Soft computing models based on intelligent fuzzy systems have the capability of managing uncertainty in the image based practices of disease. Analysis of the breast tumors and their classification is critical for early diagnosis of breast cancer as a common cancer with a high mortality rate between women all around the world. Soft computing models based on fuzzy and evolutionary algorithms play...

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