Works matching Feedforward neural networks

Results: 2551

Research of training feedforward neural networks based on hybridchaos particle swarm optimization-back-propagation.

Published in:

Application Research of Computers / Jisuanji Yingyong Yanjiu, 2014, v. 31, n. 1, p. 120, doi. 10.3969/j.issn.1001-3695.2014.01.028

By:

ZHU Qun-xiong;
DONG Chun-yan;
LIN Xiao-yong

Publication type:

Article

基于深度前馈神经网络的致密砂岩储层孔隙度预测.

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Petroleum Geology & Oilfield Development in Daqing, 2023, v. 42, n. 5, p. 140, doi. 10.19597/J.ISSN.1000-3754.202212004

By:

李奎周;
王团;
赵海波;
唐晓花;
田得光;
郑绪瑭;
高天宇

Publication type:

Article

Wound Detection by Simple Feedforward Neural Network.

Published in:

Electronics (2079-9292), 2022, v. 11, n. 3, p. 329, doi. 10.3390/electronics11030329

By:

Marijanović, Domagoj;
Nyarko, Emmanuel Karlo;
Filko, Damir

Publication type:

Article

FEEDFORWARD NEURAL NETWORKS AND THE FORECASTING OF MULTI-SECTIONAL DEMAND FOR TELECOM SERVICES: A COMPARATIVE STUDY OF EFFECTIVENESS FOR HOURLY DATA.

Published in:

Acta Scientiarum Polonorum. Oeconomia, 2020, v. 19, n. 3, p. 13, doi. 10.22630/ASPE.2020.19.3.24

By:

Kaczmarczyk, Paweł

Publication type:

Article

An Enhanced Tunicate Swarm Algorithm with Symmetric Cooperative Swarms for Training Feedforward Neural Networks.

Published in:

Symmetry (20738994), 2024, v. 16, n. 7, p. 866, doi. 10.3390/sym16070866

By:

Du, Chengtao;
Zhang, Jinzhong

Publication type:

Article

Importance sampling for option pricing with feedforward neural networks.

Published in:

Finance & Stochastics, 2025, v. 29, n. 1, p. 97, doi. 10.1007/s00780-024-00549-x

By:

Arandjelović, Aleksandar;
Rheinländer, Thorsten;
Shevchenko, Pavel V.

Publication type:

Article

An online self-organizing algorithm for feedforward neural network.

Published in:

Neural Computing & Applications, 2020, v. 32, n. 23, p. 17505, doi. 10.1007/s00521-020-04907-6

By:

Qiao, Jun-fei;
Guo, Xin;
Li, Wen-jing

Publication type:

Article

Feedforward Neural Network Controller for Quadrotor in the Presence of Payload and Wind Disturbances.

Published in:

International Review of Automatic Control, 2021, v. 14, n. 5, p. 287, doi. 10.15866/ireaco.v14i5.20480

By:

Housny, H.;
Chater, E.;
El Fadil, H.

Publication type:

Article

Improving the spaceborne GNSS-R altimetric precision based on the novel multilayer feedforward neural network weighted joint prediction model.

Published in:

Defence Technology, 2024, v. 32, p. 271, doi. 10.1016/j.dt.2023.03.019

By:

Yiwen Zhang;
Wei Zheng;
Zongqiang Liu

Publication type:

Article

CONVERGENCE OF GRADIENT METHOD FOR DOUBLE PARALLEL FEEDFORWARD NEURAL NETWORK.

Published in:

International Journal of Numerical Analysis & Modeling, 2011, v. 8, n. 3, p. 484

By:

Jian Wang;
Wei Wu;
Zhengxue Li;
Long Li

Publication type:

Article

FEEDFORWARD NEURAL NETWORKS: THE LEVENBERG-MARQUARDT OPTIMIZATION AND THE OPTIMAL BRAIN SURGEON PRUNING.

Published in:

Military Technical Courier / Vojnotehnicki Glasnik, 2015, v. 63, n. 3, p. 11, doi. 10.5937/vojtehg63-7529

By:

Protić, Danijela D.

Publication type:

Article

Application of Neural Network Feedforward in Fuzzy PI Controller for Electric Vehicle Thermal Management System: Modeling and Simulation Studies.

Published in:

Energies (19961073), 2024, v. 17, n. 1, p. 9, doi. 10.3390/en17010009

By:

Fei, Fan;
Wang, Dong

Publication type:

Article

3D Reservoir Geological Modeling Algorithm Based on a Deep Feedforward Neural Network: A Case Study of the Delta Reservoir of Upper Urho Formation in the X Area of Karamay, Xinjiang, China.

Published in:

Energies (19961073), 2020, v. 13, n. 24, p. 6699, doi. 10.3390/en13246699

By:

Yao, Jianpeng;
Liu, Qingbin;
Liu, Wenling;
Liu, Yuyang;
Chen, Xiaodong;
Pan, Mao

Publication type:

Article

Boolean Feedforward Neural Network Modeling of Molecular Regulatory Networks for Cellular State Conversion.

Published in:

Frontiers in Physiology, 2020, v. 11, p. N.PAG, doi. 10.3389/fphys.2020.594151

By:

Choo, Sang-Mok;
Almomani, Laith M.;
Cho, Kwang-Hyun

Publication type:

Article

Mapping some basic functions and operations to multilayer feedforward neural networks for modeling nonlinear dynamical systems and beyond.

Published in:

Nonlinear Dynamics, 2013, v. 71, n. 1/2, p. 371, doi. 10.1007/s11071-012-0667-9

By:

Pei, Jin-Song;
Mai, Eric;
Wright, Joseph;
Masri, Sami

Publication type:

Article

Feedback linearization and feedforward neural network control with application to twin rotor mechanism.

Published in:

Transactions of the Institute of Measurement & Control, 2018, v. 40, n. 2, p. 351, doi. 10.1177/0142331216656758

By:

Chia-Wei Lin;
Li, Tzuu-Hseng S.;
Chung-Cheng Chen

Publication type:

Article

Performance comparison of feedforward neural network training algorithms in modelling microwave pyrolysis of oil palm fibre for hydrogen and biochar production.

Published in:

Asia-Pacific Journal of Chemical Engineering, 2020, v. 15, n. 1, p. N.PAG, doi. 10.1002/apj.2388

By:

Nasrudin, Nor Anisa;
Jewaratnam, Jegalakshimi;
Hossain, Md Arafat;
Ganeson, Poo Balan

Publication type:

Article

Design of highly effective multilayer feedforward neural network by using genetic algorithm.

Published in:

Expert Systems, 2020, v. 37, n. 4, p. 1, doi. 10.1111/exsy.12532

By:

Üstün, Oğuz;
Bekiroğlu, Erdal;
Önder, Mithat

Publication type:

Article

Calculation of the contribution rate of China’s hydraulic science and technology based on a feedforward neural network.

Published in:

PLoS ONE, 2019, v. 14, n. 9, p. 1, doi. 10.1371/journal.pone.0222091

By:

Xu, Rongrong;
Wu, Yongxiang;
Chen, Ming;
Zhang, Xuan;
Wu, Wei;
Tan, Long;
Wang, Gaoxu;
Xu, Yi;
Yan, Bing;
Xia, Yuedong

Publication type:

Article

Enhancing the accuracy and precision of forecasting the productivity of a factory: a fuzzified feedforward neural network approach.

Published in:

Complex & Intelligent Systems, 2021, v. 7, n. 5, p. 2317, doi. 10.1007/s40747-021-00416-8

By:

Chen, Toly;
Lin, Yu-Cheng

Publication type:

Article

Aerodynamic multi-objective optimization on train nose shape using feedforward neural network and sample expansion strategy.

Published in:

Engineering Applications of Computational Fluid Mechanics, 2023, v. 17, n. 1, p. 1, doi. 10.1080/19942060.2023.2226187

By:

Zhiyuan Dai;
Tian Li;
Ze-Rui Xiang;
Weihua Zhang;
Jiye Zhang

Publication type:

Article

Risk-Averse Food Recommendation Using Bayesian Feedforward Neural Networks for Patients with Type 1 Diabetes Doing Physical Activities.

Published in:

Applied Sciences (2076-3417), 2020, v. 10, n. 22, p. 8037, doi. 10.3390/app10228037

By:

Ngo, Phuong;
Tejedor, Miguel;
Tayefi, Maryam;
Chomutare, Taridzo;
Godtliebsen, Fred

Publication type:

Article

A novel method for estimating daily evapotranspiration based on one, two, and three-day meteorological records using the long short-term memory model combined with feedforward neural networks.

Published in:

Earth Science Informatics, 2023, v. 16, n. 4, p. 4077, doi. 10.1007/s12145-023-01150-0

By:

Sharafi, Milad;
Talebi, Hamed;
Samadianfard, Saeed;
Prasad, Ramendra

Publication type:

Article

P-Impedance and V<sub>p</sub>/V<sub>s</sub> prediction based on AVO inversion scheme with deep feedforward neural network: a case study from tight sandstone reservoir.

Published in:

Acta Geophysica, 2022, v. 70, n. 2, p. 563, doi. 10.1007/s11600-021-00720-4

By:

Mao, Xinjun;
Han, Xuehui;
Wu, Baohai;
Wang, Zhenlin;
Zhang, Hao;
Wang, Hongliang

Publication type:

Article

Multi-objective optimization of multi-directional functionally graded beams using an effective deep feedforward neural network-SMPSO algorithm.

Published in:

Structural & Multidisciplinary Optimization, 2021, v. 63, n. 6, p. 2889, doi. 10.1007/s00158-021-02852-z

By:

Truong, Tam T.;
Lee, Jaehong;
Nguyen-Thoi, T.

Publication type:

Article

Levy Enhanced Cross Entropy-based Optimized Training of Feedforward Neural Networks.

Published in:

Engineering, Technology & Applied Science Research, 2022, v. 12, n. 5, p. 9196, doi. 10.48084/etasr.5190

By:

Pandya, Kartik;
Dabhi, Dharmesh;
Mochi, Pratik;
Rajput, Vipul

Publication type:

Article

Multiscale computation on feedforward neural network and recurrent neural network.

Published in:

Frontiers of Structural & Civil Engineering, 2020, v. 14, n. 6, p. 1285, doi. 10.1007/s11709-020-0691-7

By:

Li, Bin;
Zhuang, Xiaoying

Publication type:

Article

Quasinormal modes of dS and AdS black holes: Feedforward neural network method.

Published in:

International Journal of Geometric Methods in Modern Physics, 2021, v. 18, n. 10, p. 1, doi. 10.1142/S0219887821501541

By:

Övgün, Ali;
Sakallı, İzzet;
Mutuk, Halil

Publication type:

Article

Candlestick Pattern Classification Using Feedforward Neural Network.

Published in:

International Journal of Advances in Soft Computing & Its Applications, 2022, v. 14, n. 2, p. 79, doi. 10.15849/IJASCA.220720.06

By:

Karmelia, Meilona Eurica;
Widjaja, Moeljono;
Seng Hansun

Publication type:

Article

Computational characteristics of feedforward neural networks for solving a stiff differential equation.

Published in:

Neural Computing & Applications, 2022, v. 34, n. 10, p. 7975, doi. 10.1007/s00521-022-06901-6

By:

Schneidereit, Toni;
Breuß, Michael

Publication type:

Article

Memetic algorithms for training feedforward neural networks: an approach based on gravitational search algorithm.

Published in:

Neural Computing & Applications, 2021, v. 33, n. 7, p. 2561, doi. 10.1007/s00521-020-05131-y

By:

García-Ródenas, Ricardo;
Linares, Luis Jimenez;
López-Gómez, Julio Alberto

Publication type:

Article

Flower pollination–feedforward neural network for load flow forecasting in smart distribution grid.

Published in:

Neural Computing & Applications, 2019, v. 31, n. 10, p. 6001, doi. 10.1007/s00521-018-3421-5

By:

Shehu, Gaddafi Sani;
Çetinkaya, Nurettin

Publication type:

Article

Designing evolutionary feedforward neural networks using social spider optimization algorithm.

Published in:

Neural Computing & Applications, 2015, v. 26, n. 8, p. 1919, doi. 10.1007/s00521-015-1847-6

By:

Mirjalili, Seyedeh;
Saremi, Shahrzad;
Mirjalili, Seyed

Publication type:

Article

Approximation of algebraic and trigonometric polynomials by feedforward neural networks.

Published in:

Neural Computing & Applications, 2012, v. 21, n. 1, p. 73, doi. 10.1007/s00521-011-0617-3

By:

Wang, Jian-Jun;
Chen, Bai-Li;
Yang, Chan-Yun

Publication type:

Article

A Ubiquitous Clinic Recommendation System Using the Modified Mixed-Binary Nonlinear Programming-Feedforward Neural Network Approach.

Published in:

Journal of Theoretical & Applied Electronic Commerce Research, 2021, v. 16, n. 7, p. 3282, doi. 10.3390/jtaer16070178

By:

Lin, Yu-Cheng;
Chen, Toly

Publication type:

Article

Batch Gradient Learning Algorithm with Smoothing L 1 Regularization for Feedforward Neural Networks.

Published in:

Computers (2073-431X), 2023, v. 12, n. 1, p. 4, doi. 10.3390/computers12010004

By:

Mohamed, Khidir Shaib

Publication type:

Article

Multi-Objective Optimization of Laminated Functionally Graded Carbon Nanotube-Reinforced Composite Plates Using Deep Feedforward Neural Networks-NSGAII Algorithm.

Published in:

International Journal of Computational Methods, 2022, v. 19, n. 3, p. 1, doi. 10.1142/S0219876221500651

By:

Ly, Duy K.;
Truong, Tam T.;
Nguyen-Thoi, T.

Publication type:

Article

Simulation of Seawater Intrusion Area Using Feedforward Neural Network in Longkou, China.

Published in:

Water (20734441), 2020, v. 12, n. 8, p. 2107, doi. 10.3390/w12082107

By:

Li, Daiyuan;
Wu, Yongxiang;
Gao, Erkun;
Wang, Gaoxu;
Xu, Yi;
Zhong, Huaping;
Wu, Wei

Publication type:

Article

A Feedforward Neural Network for Modeling of Average Pressure Frequency Response.

Published in:

Acoustics Australia, 2022, v. 50, n. 2, p. 185, doi. 10.1007/s40857-021-00259-w

By:

Pettersson, Klas;
Karzhou, Andrei;
Pettersson, Irina

Publication type:

Article

Adsorption of Copper(II) Ion from Aqueous Solution Using Biochar Derived from Rambutan (Nepheliumlappaceum) Peel: Feedforward Neural Network Modelling Study.

Published in:

Water, Air & Soil Pollution, 2017, v. 228, n. 8, p. 1, doi. 10.1007/s11270-017-3472-8

By:

Selvanathan, Manimala;
Yann, Khoo;
Chung, Chang;
Selvarajoo, Anurita;
Arumugasamy, Senthil;
Sethu, Vasanthi

Publication type:

Article

Construction and approximation for a class of feedforward neural networks with sigmoidal function.

Published in:

International Journal of Wavelets, Multiresolution & Information Processing, 2023, v. 21, n. 6, p. 1, doi. 10.1142/S0219691323500285

By:

Meng, Xinhong;
Yan, Jinyao;
Ye, Hailiang;
Cao, Feilong

Publication type:

Article

A Stochastic Computing Method For Generating Activation Functions in Multilayer Feedforward Neural Networks.

Published in:

Electrica, 2021, v. 21, n. 3, p. 376, doi. 10.5152/electr.2021.21043

By:

Ersoy, Durmuş;
Erkmen, Burcu

Publication type:

Article

Framework for Hyperparameter Impact Analysis and Selection for Water Resources Feedforward Neural Network.

Published in:

Water Resources Management, 2022, v. 36, n. 11, p. 4201, doi. 10.1007/s11269-022-03248-4

By:

Wang, Xuan;
Tian, Wenchong;
Liao, Zhenliang

Publication type:

Article

Uncertainty Analysis on Hybrid Double Feedforward Neural Network Model for Sediment Load Estimation with LUBE Method.

Published in:

Water Resources Management, 2019, v. 33, n. 10, p. 3563, doi. 10.1007/s11269-019-02318-4

By:

Chen, Xiao-Yun;
Chau, Kwok-Wing

Publication type:

Article

A feedforward neural network based on Legendre polynomial for solving linear Fredholm integro-differential equations.

Published in:

International Journal of Computer Mathematics, 2023, v. 100, n. 7, p. 1480, doi. 10.1080/00207160.2023.2191746

By:

Shao, Xinping;
Yang, Liupan;
Guo, Anqi

Publication type:

Article

Constructing a Precise Fuzzy Feedforward Neural Network Using an Independent Fuzzification Approach.

Published in:

Axioms (2075-1680), 2021, v. 10, n. 4, p. 282, doi. 10.3390/axioms10040282

By:

Wu, Hsin-Chieh;
Chen, Tin-Chih Toly;
Chiu, Min-Chi

Publication type:

Article

Performance comparison of feedforward neural networks applied to streamflow series forecasting.

Published in:

Mathematics in Engineering, Science & Aerospace (MESA), 2019, v. 10, n. 1, p. 41

By:

Siqueira, Hugo;
Luna, Ivette

Publication type:

Article

V-REP-based navigation of automated wheeled robot between obstacles using PSO-tuned feedforward neural network.

Published in:

Journal of Computational Design & Engineering, 2020, v. 7, n. 4, p. 427, doi. 10.1093/jcde/qwaa035

By:

Pandey, Anish;
Panwar, Vikas Singh;
Hasan, Md. Ehtesham;
Parhi, Dayal R.

Publication type:

Article

Training feedforward neural network using genetic algorithm to diagnose left ventricular hypertrophy.

Published in:

Telkomnika, 2020, v. 18, n. 3, p. 1285, doi. 10.12928/TELKOMNIKA.v18i3.15225

By:

Revathi, J.;
Anitha, J.;
Jude Hemanth, D.

Publication type:

Article

Developing Feedforward Neural Networks as Benchmark for Load Forecasting: Methodology Presentation and Application to Hospital Heat Load Forecasting.

Published in:

Energies (19961073), 2023, v. 16, n. 4, p. 2026, doi. 10.3390/en16042026

By:

Stienecker, Malte;
Hagemeier, Anne

Publication type:

Article