This paper reports on the design and implementation of a neurofuzzy system for modelling and controlling drilling processes in an Ethernet-based application. The neurofuzzy system in question is an Adaptive Network based Fuzzy Inference System (ANFIS), where fuzzy rules are obtained from input/output data. The design of the control system is based on the internal model control paradigm. The mai...

The world's growing economy and demographic advancement are driving an increase in global energy demand. As worries about carbon emissions grow the demand for electrical production continues to rise, it is necessary develop new methods of electricity production. Fuel cell system one promising factors addressing this problem due its low emissions, easy accessibility, fuel flexibility. In paper, ...

In this paper, a HVAC (heating, ventilating and air-conditioning) system has two different zones was designed and fan motor speed to minimize energy consumption of the HVAC system was controlled by a conventional (proportional–integral-derivative) PID controller. The desired temperatures were realized by variable flow-rate by considering the ambient temperature for each zone. The control algori...

زمینه و هدف: بسیاری از عوامل محیطی جمله مداخلات غذایی می‌توانند التهاب را تعدیل کنند. پژوهش‌های قبلی تأیید کرده‌اند که وعده‌های چرب موجب افزایش فعال شدن نشانگرهای التهابی مانند IL-6 در مرحلة پس مصرف می‌شود. ازاین‌رو هدف این پژوهش بررسی اثر تمرین هوازی همراه با عصارة پوست سبز پسته بر بیان IL-6، IL-1 TNF-α بافت قلب موش‌های صحرایی تغذیه‌شده غذای بود.مواد روش‌ها: تحقیق مادة دوازده‌هفته‌ای وزن بین 1...

Churn prediction is a useful tool to predict customer at churn risk. By accurate prediction of churners and non-churners, a company can use the limited marketing resource efficiently to target the churner customers in a retention marketing campaign. Accuracy is not the only important aspect in evaluating a churn prediction models. Churn prediction models should be both accurate and comprehensib...

In this study 3-DOF quarter car model with the three bumps on rigid road, assumption has been modeled non-random irregularity. To reduce excessive vibrations occurred vehicle body, an active suspension system linear actuator considered. Moreover, to control actuator, adaptive neuro-fuzzy algorithm is designed. The training and testing data of ANFIS obtained from Proportional Integral Derivative...