Results 91 to 100 of about 639,551 (228)

Stability Analysis of Batch Offline Action-Dependent Heuristic Dynamic Programming Using Deep Neural Networks

Mathematics
In this paper, the theoretical stability of batch offline action-dependent heuristic dynamic programming (BOADHDP) is analyzed for deep neural network (NN) approximators for both the action value function and controller which are iteratively improved ...
Timotei Lala
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Multilayer Perceptron for analyzing satellite data

Iraqi Journal of Physics, 2011
Different ANN architectures of MLP have been trained by BP and used to analyze Landsat TM images. Two different approaches have been applied for training: an ordinary approach (for one hidden layer M-H1-L & two hidden layers M-H1-H2-L) and one-against ...
Raed Shadfan
doaj  

Deciphering hidden layers’s images through terahertz spectral fingerprints

Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy
Terahertz radiation enables non destructive, depthresolved analysis of layered artworks. This study demonstrates THz multispectral imaging ability to reveal concealed text beneath mockup of pictorial layers, reconstructing hidden narratives at varying depths through frequency domain analysis.Simultaneously, it maps pigment composition, providing ...
Moffa, Candida, Francescone, Daniele, Curcio, Alessandro, Felici, Anna Candida, Bellaveglia, Marco, Piersanti, Luca, Migliorati, Mauro, Petrarca, Massimo   +7 more
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Hyperparameter Tuning of Artificial Neural Network-Based Machine Learning to Optimize Number of Hidden Layers and Neurons in Metal Forming

Journal of Manufacturing and Materials Processing
Cold rolling is widely recognized as a key industrial process for enhancing the mechanical properties of materials, particularly hardness, through strain hardening.
Ebrahim Seidi, Farnaz Kaviari, Scott F. Miller   +2 more
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How does unlabeled data improve generalization in self-training? A one-hidden-layer theoretical analysis [PDF]

, 2022
Shuai Zhang, Meng Wang, Sijia Liu, Pin‐Yu Chen, Jinjun Xiong   +4 more
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Fault Diagnosis for Centrifugal Chiller Based on PSO-BP

Zhileng xuebao, 2019
In this study, a BP (back-propagation network) neural network, optimized by PSO (particle swarm optimization) was applied to the fault diagnosis of a centrifugal chiller. Seven typical faults, including four component-level and three system-level faults,
Xu Ling, Han Hua, Cui Xiaoyu, Fan Yuqiang, Wu Hao   +4 more
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A FORMULA FOR THE APPROXIMATION OF FUNCTIONSBY SINGLE HIDDEN LAYER NEURAL NETWORKS WITHWEIGHTS FROM TWO STRAIGHT LINES

, 2022
Vugar E. Ismailov, V Arnold, R Aliev, A Asgarova, V Ismailov, M-B Babaev, A, M-B Babayev, I Maharov, D Braess, A Pinkus, E Cands, T Chen, H Chen, C Chui, X Li, D Costarelli, R Spigler, G Cybenko, S Diliberto, E Straus, M Golitschek, W Light, K Hornik, A Iliev, N Kyurkchiev, S Markov, V Ismailov, V Ismailov, V Ismailov, V Ismailov, V Ismailov, E Savas, Y Ito, S Ya, Khavinson, M Leshno, V Ya, A Lin, S Pinkus, Schocken, S Lin, J Zeng, L Xu, Z Xu, V Maiorov, A Pinkus, D Marshall, A O'farrell, D Marshall, A O'farrell, A Pinkus, A Pinkus, T Rivlin, R Sibner, M Stinchcombe, H White   +56 more
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Air Quality Prediction Affected by Different Activation Functions and Hidden Layer Nodes in Artificial Neural Network Models

Applied Sciences
The effects of different activation functions (sigmoid and hyperbolic tangent), and node numbers in a hidden layer of artificial neural network (ANN) models on urban air quality forecasting were investigated in a coastal city of Korea.
Soo-Min Choi
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Optimized Neural Network Method for Temperature Estimation along Optical Fiber

Guangtongxin yanjiu
【Objective】To effectively estimate the optical fiber temperature of distributed optical fiber sensing based on Brillouin scattering, a multi-layer feedforward Artificial Neural Network (ANN) is introduced to estimate the temperature.【Methods】The article ...
LI Suya, DONG Yanwei, LI Lin, ZHANG Chi, LI Nan, NING Qi, CHEN Yonghui   +6 more
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The Effect of Hidden Neurons in Single-Hidden Layer Feedforward Neural Networks

Bilişim Teknolojileri Dergisi, 2019
Especially in the last decade, Artificial Intelligence is gaining popularity increasingly since deep learning and neural networks have fast and powerful machine learning-based techniques that can solve many real-time problems efficiently. In this study, Extreme Learning Machine (ELM), capable of high and fast learning is used for optimization ...
openaire   +3 more sources