Research on Two-Stage Semi-Active ISD Suspension Based on Improved Fuzzy Neural Network PID Control [PDF]
Sensors, 2023 To better improve the ride comfort and handling stability of vehicles, a new two-stage ISD semi-active suspension structure is designed, which consists of the three elements, including an adjustable damper, spring, and inerter.
Linhao Jin +3 more
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Medical Image Interpolation Using Recurrent Type-2 Fuzzy Neural Network [PDF]
Frontiers in Neuroinformatics, 2021 Image interpolation is an essential process for image processing and computer graphics in wide applications to medical imaging. For image interpolation used in medical diagnosis, the two-dimensional (2D) to three-dimensional (3D) transformation can ...
Jafar Tavoosi +5 more
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Analyzing industrial robot selection based on a fuzzy neural network under triangular fuzzy numbers [PDF]
Scientific ReportsIt is difficult to select a suitable robot for a specific purpose and production environment among the many different models available on the market. For a specific purpose in industry, a Pakistani production company needs to select the most suitable ...
Ihsan Ullah +4 more
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IMAGE DATA CLASSIFICATION BY NFES-MODEL [PDF]
Jurnal Informatika, 2008 In this paper, we propose an identification method of the land cover from remote sensing data with combining neuro-fuzzy and expert system. This combining then is called by Neuro-Fuzzy Expert System Model (NFES-Model).
M. Givi Efgivia, Safaruddin A. Prasad
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The Comparison of Fuzzy Neural Network Methods with Wavelet Fuzzy Neural Network in Predicting Stock Prices of Banks Accepted in Tehran Stock Exchange [PDF]
راهبرد مدیریت مالی, 2018 The purpose of this study was to compare the predictive power of fuzzy neural network with fuzzy wavelet neural network in predicting stock prices of banks in Tehran Stock Exchange. The period of this research was from 2011 to 2016. In this research, the
ghasem zarei +3 more
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A Fuzzy Multi-Criteria Evaluation System for Share Price Prediction: A Tesla Case Study
Mathematics, 2023 The article presents the predictive capabilities of a fuzzy multi-criteria evaluation system that operates on the basis of a non-fuzzy neural approach, but also one that is capable of implementing a learning paradigm and working with vague concepts ...
Simona Hašková +2 more
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Foreign Trade Export Forecast Based on Fuzzy Neural Network
Complexity, 2021 This article first analyzes the significance and methods of foreign trade export forecasting and determines the index system of foreign trade export forecasting by analyzing the results of foreign trade export forecasting research at home and abroad ...
Yang Liu
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The control to aggregates of pumping stations using a regulator based on a neural network with fuzzy logic [PDF]
E3S Web of Conferences, 2019 A pumping station control system is considered using a controller based on a fuzzy logic neural network. The simulation of the classical and fuzzy regulators.
Kuznetsov Vladlen +2 more
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Quality of service (QoS) for LTE network based on adaptive neuro fuzzy inference system
IET Communications, 2021 The main objective of this paper is to design an Adaptive Neuro Fuzzy Inference System model to calculate the quality of service for LTE HetNet applications. The quality of service parameters considered are delay, loss rate, throughput, and jitter.
Hala B. Nafea +2 more
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METODE KOMPARASI ARTIFICIAL NEURAL NETWORK PADA PREDIKSI CURAH HUJAN - LITERATURE REVIEW
Jurnal Tekno Insentif, 2020 Abstrak - Penelitian untuk mencari model prediksi curah hujan yang akurat di berbagai bidang sudah banyak dilakukan, maka dilakukan di-review kembali guna membantu proses penyaliran dalam perusahaan tambang.
Herlina Jayadianti +3 more
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