Neural Network Toolbox
Neural Network Toolbox. Neural Network Toolbox™ provides functions and apps for modeling complex nonlinear systems that are not easily modeled with a closed-form equation. Neural Network Toolbox supports supervised learning with feedforward, radial basis, and dynamic networks. It also supports unsupervised learning with self-organizing maps and competitive layers. With the toolbox you can design, train, visualize, and simulate neural networks. You can use Neural Network Toolbox for applications such as data fitting, pattern recognition, clustering, time-series prediction, and dynamic system modeling and control. To speed up training and handle large data sets, you can distribute computations and data across multicore processors, GPUs, and computer clusters using Parallel Computing Toolbox™.
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References in zbMATH (referenced in 178 articles )
Showing results 1 to 20 of 178.
Sorted by year (- Hassan, Nataj Solhdar Mohammad; Janinasab, Solahdar Mehdi; Eskandari, Sadegh: An intrusion detection system with a parallel multi-layer neural network (2021)
- Mohammadi, Mohammad-Reza; Hemmati-Sarapardeh, Abdolhossein; Schaffie, Mahin; Husein, Maen M.; Karimian, Milad; Ranjbar, Mohammad: On the evaluation of crude oil oxidation during thermogravimetry by generalised regression neural network and gene expression programming: application to thermal enhanced oil recovery (2021)
- Pled, Florent; Desceliers, Christophe; Zhang, Tianyu: A robust solution of a statistical inverse problem in multiscale computational mechanics using an artificial neural network (2021)
- Sun, Zhuang; Xu, Jianping; Espinoza, D. Nicolas; Balhoff, Matthew T.: Optimization of subsurface (\mathrmCO_2) injection based on neural network surrogate modeling (2021)
- Bhattacharjee, Satyaki; Matouš, Karel: A nonlinear data-driven reduced order model for computational homogenization with physics/pattern-guided sampling (2020)
- Maamir, M.; Charrouf, O.; Betka, A.; Sellali, M.; Becherif, M.: Neural network power management for hybrid electric elevator application (2020)
- Rahmanpanah, Hadi; Mouloodi, Saeed; Burvill, Colin; Gohari, Soheil; Davies, Helen M. S.: Prediction of load-displacement curve in a complex structure using artificial neural networks: a study on a long bone (2020)
- Zhang, B.; Chen, Z. Y.: General Winkler model for kinematic responses of shafts in linear soil (2020)
- Yang, Wen; Liu, Xiaoning; Wang, Kegang; Hu, Jiabei; Geng, Guohua; Feng, Jun: Sex determination of three-dimensional skull based on improved backpropagation neural network (2019)
- Jafrasteh, Bahram; Fathianpour, Nader; Suárez, Alberto: Comparison of machine learning methods for copper ore grade estimation (2018)
- Sameh, Adaily; Abdelkader, Mbarek; Tarek, Garna; José, Ragot: Optimal multimodel representation by Laguerre filters applied to a communicating two tank system (2018)
- Ali, Mohd Syukri; Abu Bakar, Ab Halim; Tan, ChiaKwang; Arof, Hamzah; Mokhlis, Hazlie; Abu Talip, Mohamad Sofian: High impedance fault localization using discrete wavelet transform for single line to ground fault (2017)
- Campisi, Laura Donatella: Sketching the temperature history of geological samples: analyses of diffusion profiles using multilayer perceptrons (2017)
- Francesco Giannini, Vincenzo Laveglia, Alessandro Rossi, Dario Zanca, Andrea Zugarini: Neural Networks for Beginners. A fast implementation in Matlab, Torch, TensorFlow (2017) arXiv
- Vapnik, Vladimir; Izmailov, Rauf: Knowledge transfer in SVM and neural networks (2017)
- Wang, Li; Lin, Shimin; Yang, Jingfeng; Zhang, Nanfeng; Yang, Ji; Li, Yong; Zhou, Handong; Yang, Feng; Li, Zhifu: Dynamic traffic congestion simulation and dissipation control based on traffic flow theory model and neural network data calibration algorithm (2017)
- Schlünz, E. B.; Bokov, P. M.; van Vuuren, J. H.: A comparative study on multiobjective metaheuristics for solving constrained in-core fuel management optimisation problems (2016)
- Xue, Dingyü; Chen, YangQuan: Scientific computing with MATLAB (2016)
- Zhang, Yu’nong; Xiao, Zhengli; Ding, Sitong; Mao, Mingzhi; Liu, Jinrong: WASD neural network activated by bipolar sigmoid functions together with subsequent iterations (2016)
- Aghajani, Hamed Farshbaf; Salehzadeh, Hossein; Shahnazari, Habib: Stability analysis of sandy slope considering anisotropy effect in friction angle (2015) ioport