Results 21 to 30 of about 765,648 (266)

Use of ANFIS/Genetic Algorithm and Neural Network to Predict Inorganic Indicators of Water Quality [PDF]

Journal of Chemical and Petroleum Engineering, 2020
The present research used novel hybrid computational intelligence (CI) models to predict inorganic indicators of water quality. Two CI models i.e. artificial neural network (ANN) and a hybrid adaptive neuro-fuzzy inference system (ANFIS) trained by ...
Majid Mohadesi, Babak Aghel
doaj   +1 more source

Experimental investigation on utilization of substitute building materials in concrete using neural networks [PDF]

E3S Web of Conferences
The replacement of cement with sugarcane bagasse ash in concrete is considered due to its rich properties of projecting pozzolanic activity. The availability of aggregates is becoming scarce as a result of the non-renewable characteristic of fine and ...
Kumar V Prem, P Manikandan, Indu Matasugur, Thanusha Gutthi Reddy, Mounikareddy Kesamareddy, Sameer Basha Khodgaad, Madhusudhan Komera   +6 more
doaj   +1 more source

Neural Network based Direct Torque Controller of SRM for EV Application [PDF]

E3S Web of Conferences
the control aspects of the elecytric vehicle are presented in this paper. The electric car which is driven by a 6/4 Switched Reluctance Motor (SRM) powered by four battery banks is presented in this paper.
D Ganesh, Saxena Vijay, Singh Daljeet Pal, Faujdar Pramod Kumar   +3 more
doaj   +1 more source

Identification of the Flip Folder Folding Machine Using Artificial Neural Network with Nonlinear Autoregressive Exogenous Structure

Inform: Jurnal Ilmiah Bidang Teknologi Informasi dan Komunikasi, 2020
Folding machine is a tool that is needed in the small and medium scale laundry industry that has a goal for the efficiency of production time. The flip folder is the main component of this tool, which functions to fold the clothes by moving to form a ...
Yuliyanto Agung Prabowo, Wahyu Setyo Pambudi, Ilmi Rizki Imaduddin   +2 more
doaj   +1 more source

Heart disease prediction using machine learning algorithms [PDF]

MATEC Web of Conferences
Heart disease is among the conditions that people suffer from most frequently. Millions of people worldwide pass away each year as a result of it, making it one of the main causes of mortality.
Logabiraman Govardhan, Ganesh D., Kumar M. Sunil, Kumar A. Vinay, Bhardwaj Nitin   +4 more
doaj   +1 more source

مدل‌سازی رابطه دبی_اشل در رودخانه با استفاده از روش شبکه‌های عصبی مصنوعی(ANN) و روش کنترل گروهی داده‌ها(GMDH)(مطالعه موردی: رودخانه اسکویلکیل) [PDF]

پژوهش‌های حفاظت آب و خاک, 2016
پیش‌بینی جریان در رودخانه‌ها، یکی از مهم‌ترین مولفه‌های فرآیندهای هیدرولیکی و هیدرولوژیکی در مدیریت منابع آب می‌باشد. به منظور کاربردهای هیدرولوژیکی گوناگون نظیر تجزیه ‌و‌تحلیل بیلان آب و رسوب و همچنین پروژه‌های کنترل و بهره‌برداری از مخازن، وجود اطلاعات
مریم حسین زاده, کورش قادری, محمد مهدی احمدی   +2 more
doaj   +1 more source

Robust estimation based nonlinear higher order sliding mode control strategies for PMSG-WECS [PDF]

Bulletin of the Polish Academy of Sciences: Technical Sciences, 2023
The wind energy conversion systems (WECS) suffer from an intermittent nature of source (wind) and the resulting disparity between power generation and electricity demand. Thus, WECS are required to be operated at maximum power point (MPP).
Awais Nazir, Safdar Abbas Khan, Malak Adnan Khan, Zaheer Alam, Imran Khan, Muhammad Irfan, Saifur Rehman, Grzegorz Nowakowski   +7 more
doaj   +1 more source

POWER RIPPLE REDUCTION OF DPC DFIG DRIVE USING ANN CONTROLLER [PDF]

Acta Electrotechnica et Informatica, 2020
Over the past years, many kinds of control strategies is proposed for doubly fed induction generators drives. Among them, direct power control (DPC) has gained more importance due to simple control structures and fast dynamic response. However, it has a
Habib BENBOUHENNI, Abdelkader BELAIDI, Zinelaabidine BOUDJEMA   +2 more
doaj   +1 more source

k-NN and k-NN-ANN Combined Classifier to Assess MOX Gas Sensors Performances Affected by Drift Caused by Early Life Aging

Chemosensors, 2020
The drift of metal oxide semiconductor (MOX) chemical sensors is one of the most important topics in this field. The work aims to test the performance of MOX gas sensors over the aging process.
Marco Abbatangelo, Estefanía Núñez-Carmona, Veronica Sberveglieri, Elisabetta Comini, Giorgio Sberveglieri   +4 more
doaj   +1 more source

Development of a Hybrid ANN-evolutionary Algorithms Models to Predict the Froude Number in Open Channel Flows in Modeling of Sediment Transport [PDF]

محیط زیست و مهندسی آب, 2021
The authors unanimously wish to retract this paper because of several incorrect statements and erroneous presentation and copyrights issues of primary data.
Naser Arya azar, Sami Ghordoyee Milan, Nazila Kardan   +2 more
doaj   +1 more source