Výsledky vyhledávání - "wavelet neural network"

Akademický článek

Prediction model of surrounding rock deformation in double-continuous-arch tunnel based on the ABC-WNN

Autor: Yahui Zhang

Publikováno v: Railway Sciences, Vol 3, Iss 6, Pp 717-730 (2024)

Purpose – The wavelet neural network (WNN) has the drawbacks of slow convergence speed and easy falling into local optima in data prediction. Although the artificial bee colony (ABC) algorithm has strong global optimization ability and fast converg

Externí odkaz: https://doaj.org/article/6980e3d0aa114662b57b8f1dedc3855b

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Akademický článek

A combined feedforward-feedback controller design for nonlinear systems

Autor: Abdulkareem Jenan J., Ali Hazem I., Lutfy Omar Farouq

Publikováno v: Open Engineering, Vol 14, Iss 1, Pp 938-46 (2024)

This study presents a control framework that integrates both feedforward (FF) and feedback (FB) procedures to control nonlinear systems. The intelligent control component consisted of a modified recurrent wavelet neural network used to build the FF c

Externí odkaz: https://doaj.org/article/95c55a2d4e9b4cd581c8f12b3c82ca36

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Akademický článek

A Metaheuristic-Trained Wavelet Neural Network for Predicting of Soil Liquefaction Based on the Standard Penetration Test Results

Autor: Ali Reza Ghanizadeh, Ahmad Aziminejad

Publikováno v: Journal of Soft Computing in Civil Engineering, Vol 8, Iss 3, Pp 49-70 (2024)

Earthquake-induced soil liquefaction is one of the natural hazards that can cause irreparable damages to buildings and infrastructure in addition to threatening human lives. Therefore, accurate prediction of liquefaction has always been one of the im

Externí odkaz: https://doaj.org/article/fa7ce8a55c1e4d5fb2490684f7cba659

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Akademický článek

Enhancing thermal transport in chemically reacting nanoparticles using the energy source and Cattaneo-Christov heat flux model

Autor: Shazia Habib, Saleem Nasir, Zeeshan Khan, Abdallah Berrouk, Saeed Islam, Asim Aamir

Publikováno v: Energy Conversion and Management: X, Vol 24, Iss , Pp 100807- (2024)

Developing an effective heat exchange solvent remains one of the biggest hurdles facing industries today, as conventional fluids are unsatisfactory for effective heating and cooling. The purpose of this work is to analyze the heat transmission and fl

Externí odkaz: https://doaj.org/article/95ffc834f4334534b4228f43b09192ec

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Akademický článek

Sensitivity of daily reference evapotranspiration to weather variables in tropical savanna: a modelling framework based on neural network

Autor: Sanjeev Gupta, Pravendra Kumar, Gottam Kishore, Rawshan Ali, Nadhir Al-Ansari, Dinesh Kumar Vishwakarma, Alban Kuriqi, Quoc Bao Pham, Ozgur Kisi, Salim Heddam, Mohamed A. Mattar

Publikováno v: Applied Water Science, Vol 14, Iss 6, Pp 1-26 (2024)

Abstract Accurate prediction of reference evapotranspiration (ETo) is crucial for many water-related fields, including crop modelling, hydrologic simulations, irrigation scheduling and sustainable water management. This study compares the performance

Externí odkaz: https://doaj.org/article/5f5fc971a48d450db6db52b81a0deeb9

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Akademický článek

Predictive method for poultry carcass visceral dimensions using 3D point cloud and Genetic Algorithm-based wavelet neural network

Autor: Zhengwei Zhu, Yan Chen, Lu Cai, Jinzhou Yang, Ke Wen, Jingjing Bao, Zhigang Hu, Dandan Fu

Publikováno v: Poultry Science, Vol 104, Iss 1, Pp 104516- (2025)

In order to avoid damaging viscera during poultry evisceration and enhance the economic value of poultry products, this paper proposes a predictive method for poultry carcass visceral dimensions based on 3D point cloud and a Genetic Algorithm-based W

Externí odkaz: https://doaj.org/article/3a728cf2e2844dd19b839432d642b7bc

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Akademický článek

An improved random forest model to predict bond strength of FRP-to-concrete

Autor: Li Tao, Xinhua Xue

Publikováno v: Journal of Civil Engineering and Management, Vol 30, Iss 6 (2024)

Fiber-reinforced polymer (FRP) is an excellent building material for strengthening concrete structures, but it is difficult to accurately evaluate the bond strength of FRP-to-concrete due to the influence of various parameters. In this study, a novel

Externí odkaz: https://doaj.org/article/a35adbdee4574cd89726782706fdc2ee

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Akademický článek

State of health estimation of lithium-ion battery based on CNN–WNN–WLSTM

Autor: Quanzheng Yao, Xianhua Song, Wei Xie

Publikováno v: Complex & Intelligent Systems, Vol 10, Iss 2, Pp 2919-2936 (2024)

Abstract Accurate and stable estimation of the state of health (SOH), which is one of the critical indicators to characterize the ability of lithium-ion (Li-ion) batteries to store and release energy, is critical in the stable driving of electric veh

Externí odkaz: https://doaj.org/article/1ba2115786c840469c0b46637544e64b

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Akademický článek

Variable-Gain Robust Exact Differentiator-Based Neuro-Adaptive Control Design for Dynamic Wind Power Optimization

Autor: Hisham Alghamdi, Safeer Ullah, Ammar Ali, Ghulam Hafeez, Lyu Guanghua, Ameen Ullah, Imen Bouazzi

Publikováno v: IEEE Access, Vol 12, Pp 2186-2197 (2024)

Introducing an innovative approach, this study presents the Neuro-Adaptive Terminal Sliding Mode Control (NATSMC) for achieving Maximum Power Point Tracking (MPPT) within Permanent Magnet Synchronous Generator (PMSG)-based Wind Energy Conversion Syst

Externí odkaz: https://doaj.org/article/a6de03464df54a108865ca341b34788c

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