Rainfall Forecasting in Banyuwangi Using Adaptive Neuro Fuzzy Inference System
JITeCS (Journal of Information Technology and Computer Science), 2017 Rainfall forcasting is a non-linear forecasting process that varies according to area and strongly influenced by climate change. It is a difficult process due to complexity of rainfall trend in the previous event and the popularity of Adaptive Neuro ...
Gusti Ahmad Fanshuri Alfarisy +1 more
doaj +1 more source
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
A Systematic Review on Applications of Artificial Intelligence for Obesity Prevention
Obesity Reviews, EarlyView.ABSTRACT This systematic review examines the applications of artificial intelligence (AI) in preventing obesity, addressing a critical public health issue that affects a substantial portion of the population. With obesity rates rising alarmingly, particularly in the United States, this review synthesizes findings from 46 studies published between 2008 ...
Atefehsadat Haghighathoseini +4 more
wiley +1 more source
Data-Driven Fault Diagnosis in Water Pipelines Based on Neuro-Fuzzy Zonotopic Kalman Filters
Mathematical and Computational ApplicationsThis work presents a data-driven approach for diagnosing sensor faults and leaks in hydraulic pipelines using neuro-fuzzy Zonotopic Kalman Filters (ZKF).
Esvan-Jesús Pérez-Pérez +4 more
doaj +1 more source
A methodology for energy prediction and optimization of a system based on the Energy Hub Concept using Particle Swarms [PDF]
, 2012 In this paper, a methodology for the energy prediction for the different consumptions of a system based in the Energy Hub concept is presented. The methodology that has been used for the energy prediction is based on an Adaptive Neuro-Fuzzy Inference ...
Andrade, Fabio +3 more
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Experimental Physiology, EarlyView.Abstract To examine the feasibility, utility and safety of superimposed lower body negative pressure (LBNP) and tilt during supine cycling in individuals suffering from persisting post‐concussive symptoms (PPCS). Eleven individuals aged 17–31 (6 females/5 males) participated in two randomized separate visits, 1 week apart.
Raelyn Javra +3 more
wiley +1 more source
An Adaptive Neuro-Fuzzy Inference System Based Approach to Real Estate Property Assessment [PDF]
This paper describes a first effort to design and implement an adaptive neuro-fuzzy inference system based approach to estimate prices for residential properties. The data set consists of historic sales of homes in a market in Midwest USA and it contains
Alan S. Levitan, Jian Guan, Jozef Zurada
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OPTIMIZATION OF A FUZZY CONTROL DESIGN WITH RESPECT TO A PARALLEL MECHANISM WORKSPACE [PDF]
, 2012 Disertační práce je zaměřena na využití fuzzy logiky při návrhu řízení paralelního mechanismu založeného na Stewartově platformě. Hlavním cílem je navrhnout řídicí systém, který zabezpečí provádění biomedicínských experimentů.
Andrš, Ondřej
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Spaceborne and spaceborn: Physiological aspects of pregnancy and birth during interplanetary flight
Experimental Physiology, EarlyView.Abstract Crewed interplanetary return missions that are on the planning horizon will take years, more than enough time for initiation and completion of a pregnancy. Pregnancy is viewed as a sequence of processes – fertilization, blastocyst formation, implantation, gastrulation, placentation, organogenesis, gross morphogenesis, birth and neonatal ...
Arun V. Holden
wiley +1 more source
Study of Discrete Choice Models and Adaptive Neuro-Fuzzy Inference System in the Prediction of Economic Crisis Periods in USA [PDF]
In this study two approaches are applied for the prediction of the economic recession or expansion periods in USA. The first approach includes Logit and Probit models and the second is an Adaptive Neuro-Fuzzy Inference System (ANFIS) with Gaussian and ...
Eleftherios Giovanis
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