Results 81 to 90 of about 31,556 (234)
Mathematics, 2020 In Manufacturing Engineering there is a need to be able to model the behavior of technological variables versus input parameters in order to predict their behavior in advance, so that it is possible to determine the levels of variation that lead to ...
C. J. Luis Pérez
doaj +1 more source
A novel approach for ANFIS modelling based on Grey system theory for thermal error compensation [PDF]
, 2014 The fast and accurate modelling of thermal errors in machining is an important aspect for the implementation of thermal error compensation. This paper presents a novel modelling approach for thermal error compensation on CNC machine tools.
Abdulshahed, Ali +2 more
core +1 more source
Energy Consumption and CO2 Emissions Forecasting of Transport Sector Using Machine Learning
Energy Science &Engineering, EarlyView.The transport sector accounts for approximately one‐quarter of Iran's final energy consumption. The energy demand in this sector has the least variation, with petroleum products accounting for more than 85% of the demand. Furthermore, the accelerated growth of energy consumption and the sector's reliance on fossil fuels, which are the main cause of ...
Amir Hossein Akbari +2 more
wiley +1 more source
PERAMALAN INDEKS HARGA SAHAM GABUNGAN (IHSG) DENGAN WAVELET ADAPTIVE NEURO FUZZY INFERENCE SYSTEM [PDF]
, 2017 Indeks Harga Saham Gabungan (IHSG) adalah nilai representatif dari semua harga saham yang tercatat di Bursa Efek Indonesia (BEI). Oleh karena itu, IHSG dapat dimanfaatkan oleh investor untuk memantau pergerakan serta perkembangan harga saham di Indonesia.
Abadi, Agus Maman, Masyhuda, Muhammad
core
Research progress on the depth of anesthesia monitoring based on the electroencephalogram
Ibrain, Volume 11, Issue 1, Page 32-43, Spring 2025.Electroencephalogram (EEG) can noninvasive, continuous, and real‐time monitor the state of brain electrical activity, and the monitoring of EEG can reflect changes in the depth of anesthesia (DOA). The development of artificial intelligence can enable anesthesiologists to extract, analyze, and quantify DOA from complex EEG data.
Xiaolan He, Tingting Li, Xiao Wang
wiley +1 more source
Pendekatan Fungsi Transfer sebagai Input Adaptive Neuro-Fuzzy Inference System (ANFIS) dalam Peramalan Kecepatan Angin Rata-Rata Harian di Sumenep [PDF]
, 2012 Angin merupakan aliran udara dari suatu tempat ke tempat yang lain. Kecepatan angin yang melebihi 40 km/jam dapat menyebabkan bencana, misalnya nelayan tidak dapat melaut akibat gelombang laut meninggi dan lain-lain.
Irhamah, I. (Irhamah) +1 more
core
International Journal of Mechanical System Dynamics, EarlyView.ABSTRACT Understanding the dynamic behavior of structural components is crucial for optimizing performance and ensuring structural integrity. This study presents a new method that combines a systematic experimental investigation of four distinct hole geometries (circular, square, compact rectangular, and long rectangular) with varying hole counts, all ...
Amir Hossein Rabiee +3 more
wiley +1 more source
Enhanced distance protection for HVDC lines using adaptive neuro-fuzzy inference systems.
PLoS ONEAccuracy and speed of fault detection are crucial to the performance of DC transmission systems. In this paper, a novel approach is proposed for fault detection, classification, and localization in high-voltage DC transmission lines (HVDC-TLs).
A M Hamada +7 more
doaj +1 more source
Adaptive neuro-fuzzy model with fuzzy clustering for nonlinear prediction and control [PDF]
, 2014 Nonlinear systems have more complex manner and profoundness than linear systems.Thus, their analyses are much more difficult.This paper presents the use of neuro-fuzzy networks as means of implementing algorithms suitable for nonlinear black-box ...
Al-Himyari, Bayadir Abbas +2 more
core
MODELLING PRODUCTION UNCERTAINTIES USING THE ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM
The South African Journal of Industrial Engineering, 2015 تقيس إنتاجية الإنتاج أداء وسلوك نظام الإنتاج. تعد نمذجة إنتاجية الإنتاج معقدة بسبب عدم اليقين في خط الإنتاج. درست هذه الدراسة التطبيق المحتمل لنظام الاستدلال العصبي الضبابي التكيفي (ANFIS) لنمذجة إنتاجية الإنتاج في ظل خمس حالات عدم يقين كبيرة في الإنتاج: الخردة، ووقت الإعداد، ووقت الاستراحة، والطلب، ووقت التصنيع.
Amir Azizi, Amir Ali, Loh Wei Ping
openaire +4 more sources