Results 1 to 10 of about 3,578 (185)

Identifikasi Gangguan Neurologis Menggunakan Metode Adaptive Neuro Fuzzy Inference System (ANFIS)

open access: yesIJCCS (Indonesian Journal of Computing and Cybernetics Systems), 2015
Abstrak Penggunaan metode Adaptive Neuro Fuzzy Inference System (ANFIS) dalam proses identifikasi salah satu gangguan neurologis pada bagian kepala yang dikenal dalam istilah kedokteran stroke ischemic dari hasil ct scan kepala dengan tujuan untuk ...
Jani Kusanti, Sri Hartati
doaj   +3 more sources

Development and Experimental Implementation of Optimized PI-ANFIS Controller for Speed Control of a Brushless DC Motor in Fuel Cell Electric Vehicles

open access: yesEnergies, 2023
This paper compares the performance of different control techniques applied to a high-performance brushless DC (BLDC) motor. The first controller is a classical proportional integral (PI) controller. In contrast, the second one is based on adaptive neuro-
Abdessamad Intidam   +6 more
doaj   +1 more source

Strategi Implementasi Adaptive Neuro Fuzzy Inference System (ANFIS) pada Kendali Motor Induksi 3 Fase Metode Vektor-Tidak Langsung

open access: yesJurnal Elkomika, 2021
ABSTRAK Kendali vektor merupakan solusi terbaik dalam kendali motor induksi untuk meningkatkan karakter dinamis dan efisiensinya. Pada penelitian ini, sebuah kendali kecepatan PID dipadukan dengan Adaptive Neuro Fuzzy Inference System (ANFIS) untuk ...
HANIF HASYIER FAKHRUDDIN   +6 more
doaj   +1 more source

A Novel Approach for Estimation of Sediment Load in Dam Reservoir With Hybrid Intelligent Algorithms

open access: yesFrontiers in Environmental Science, 2022
Predicting the amount of sediment in water resource projects is one of the most important measures to be taken, while sediments have an unknown nature in their behavior.
Hojat Karami   +11 more
doaj   +1 more source

Comparative Study Analysis of ANFIS and ANFIS-GA Models on Flow of Vehicles at Road Intersections

open access: yesApplied Sciences, 2023
In the last two decades the efficient traffic-flow prediction of vehicles has been significant in curbing traffic congestions at freeways and road intersections and it is among the many advantages of applying intelligent transportation systems in road ...
Isaac Oyeyemi Olayode   +2 more
doaj   +1 more source

PSO-ANFIS and ANN Modeling of Propane/Propylene Separation using Cu-BTC Adsorbent [PDF]

open access: yesJournal of Chemical and Petroleum Engineering, 2019
In this work, an artificial neural network (ANN) model along with a combination of adaptive neuro-fuzzy inference system (ANFIS) and particle swarm optimization (PSO) i.e.
Sohrab Fathi   +3 more
doaj   +3 more sources

Electricity Consumption Forecasting Using Adaptive Neuro-Fuzzy Inference System (ANFIS) [PDF]

open access: yesUniversal Journal of Electrical and Electronic Engineering, 2019
Universiti Tun Hussein Onn Malaysia (UTHM) is a developing Malaysian Technical University. There is a great development of UTHM since its formation in 1993. Therefore, it is crucial to have accurate future electricity consumption forecasting for its future energy management and saving.
Tay, K. G.   +3 more
openaire   +2 more sources

STA-APSNFIS: STA-Optimized Adaptive Pre-Sparse Neuro-Fuzzy Inference System for Online Soft Sensor Modeling

open access: yesIEEE Access, 2020
In complex industrial processes (CIPs), due to technical and economic limitations, key performance indicators (KPIs), especially the chemical content-related KPIs, are often difficult to measure in real time, which hinders the propagation of advanced ...
Jinping Liu   +5 more
doaj   +1 more source

Rice yield prediction using adaptive Neuro-fuzzy inference system (ANFIS) [PDF]

open access: yesInternational Journal of Chemical Studies, 2020
In agriculture yield prediction is toughest task around the globe. The agriculture yield depends on various factors such as water, weather, soil characteristics, crop rotation, pest, disease etc., This paper presents a model designed using Adaptive Neuro-Fuzzy Inference System (ANFIS) to predict the yield of rice.
Dr. M Kalpana   +3 more
openaire   +1 more source

Adaptive neuro-fuzzy controller of switched reluctance motor [PDF]

open access: yesSerbian Journal of Electrical Engineering, 2007
This paper presents an application of adaptive neuro-fuzzy (ANFIS) control for switched reluctance motor (SRM) speed. The ANFIS has the advantages of expert knowledge of the fuzzy inference system and the learning capability of neural networks.
Tahour Ahmed   +2 more
doaj   +1 more source

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