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Radial Basis Function Neural Network Control for Coupled Water Tank DOI : 10.24014/ijaidm.v3i2.10002 | Abstract views : 175 times

Halim Mudia

The level and flow control in tanks are the heart of all chemical engineering system. The control of liquid level in tanks and flow between tanks is a basic problem in the process industries. Many times the liquids will be processed by chemical or mixing ... see more

Coupled Water Tank | Level Control | Neural Network | Radial Basis Function

Indonesian Journal of Artificial Intelligence and Data Mining , 2020

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PREDIKSI POWER SOLAR ENERGY MELALUI SOLAR PHOTOVOLTAIC (SPV) MENGGUNAKAN ARTIFICIAL NEURAL NETWORK – RADIAL BASIC FUNCTION (ANN-RBF) DOI : 10.24176/simet.v12i2.6897

harmini harmini

Sinar matahari yang sampai kepermukaan bumi dapat diubah menjadi energi listrik menggunakan sel surya atau Solar Photovoltaic Array (SPV) yang dipengaruhi oleh radiasi matahari dan temperatur yang selalu berubah-ubah dari musim ke musim. Tujuan penelitian... see more

Artificial Neural Network | Solar Photovoltaic | Radial Basic Function

Simetris: Jurnal Teknik Mesin, Elektro dan Ilmu Komputer , 2021

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Comparison of Neural Network Methods for Classification of Banana Varieties (Musa paradiasaca)

Zilvanhisna Emka Fitri,Wildan Bakti Nugroho,Abdul Madjid,Arizal Mujibtamala Nanda Imron

Every region in Indonesia has a very large diversity of banana species, but no system records information about the characteristics of banana varieties. The purpose of this research is to make an encyclopedia of banana types that can be used for learning ... see more

Banana Varieties | Digital Image Processing | Backpropagation | Radial Basic Function Neural Network

Jurnal Rekayasa Elektrika , 2021

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Comparison of Neural Network Methods for Classification of Banana Varieties (Musa paradiasaca)

Zilvanhisna Emka Fitri,Wildan Bakti Nugroho,Abdul Madjid,Arizal Mujibtamala Nanda Imron

Banana Varieties | Digital Image Processing | Backpropagation | Radial Basic Function Neural Network

Jurnal Rekayasa Elektrika , 2021

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Comparative Study Of Short Term Load Forecasting Using Multilayer Feed Forward Neural Network With Back Propagation Learning And Radial Basis Functional Neural Network

Amit Tiwari,Adarsh Dhar Dubey,Devesh Patel

The term load forecast refers to the projected load requirement using systematic process of defining load insufficient quantitative detail so that important power system expansion decisions can be made. Load forecastingis necessary for economic generation... see more

Science | Technology | Forward Neural Network With Back Propagation Learning | Radial Basis Functional Neural Network

SAMRIDDHI : A Journal of Physical Sciences; Engineering and Technology , 2015

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IDENTIFICATION OF REAR MODEL OF TV3-117 AIRCRAFT ENGINE BASED ON THE BASIS OF NEURO-MULTI-FUNCTIONAL TECHNOLOGIES

Serhii Vladov, Yurii Shmelov, Ivan Derevyanko, Inna Dieriabina, Liudmyla Chyzhova

The subject matter in the article is TV3-117 aircraft engine and methods of identification of its technical condition. The goal of the work is to develop methods for identifying the technical state of the aircraft engine TV3-117 on the basis of real-time ... see more

aircraft engine | neural network | perceptron | radial-basic function | identification

Innovative technologies and scientific solutions for industries , 1907

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Hybrid radial basis function neural networks for urban traffic signal control

Burcu Çaglar Gençosman

In this study, a real-world isolated signalized intersection with a fixed-time signal control system is considered. The signal timing plans are arranged regardless of the traffic density, and these plans cause delays in vehicle queues. However, the constr... see more

adaptive traffic signal control | data mining classification methods | radial basis function neural networks | traffic simulation

Journal of Engineering Research (JER) , 1949

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The use of radial basis function and non-linear autoregressive exogenous neural networks to forecast multi-step ahead of time flood water level

(1) Amrul Faruq (University of Muhammadiyah Malang, Indonesia) (2) Shahrum Shah Abdullah (Department of Electronics System and Electrical Engineering, Malaysia-Japan International Institute of Technology, Universiti Teknologi Malaysia, Malaysia) (3) Aminaton Marto (Department of Environmental Engineering and Green Technology, Malaysia-Japan International Institute of Technology, Universiti Teknologi Malaysia, Malaysia) (4) Mohd Anuar Abu Bakar (Department of Electronics System and Electrical Engineering, Malaysia-Japan International Institute of Technology, Universiti Teknologi Malaysia, Malaysia) (5) Shamsul Faisal Mohd Hussein (Department of Electronics System and Electrical Engineering, Malaysia-Japan International Institute of Technology, Universiti Teknologi Malaysia, Malaysia) (6) Che Munira Che Razali (Department of Electronics System and Electrical Engineering, Malaysia-Japan International Institute of Technology, Universiti Teknologi Malaysia, Malaysia)

Many different Artificial Neural Networks (ANN) models of flood have been developed for forecast updating. However, the model performance, and error prediction in which forecast outputs are adjusted directly based on models calibrated to the time series o... see more

Floods | Forecasting | Radial basis function | NARX | Artificial neural networks

International Journal of Advances in Intelligent Informatics , 2019

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Radial Basis Function Neural Networks : A Review

Gholam ali Montazer, Davar Giveki, Maryam Karami, Homayon Rastegar

Radial Basis Function neural networks (RBFNNs) represent an attractive alternative to other neural network models. One reason is that they form a unifying link between function approximation, regularization, noisy interpolation, classification and density... see more

Radial basis function neural networks (RBFNNs) | learning algorithm | center of Gaussian function | width of the Gaussian function

Computer Reviews Journal , 2018

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