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Search results for: neural network
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Year: 2007, Volume: 7, Issue: 1
... . Autonomous Adaptive Control Method//Optical Memory and Neural [14] Nesteruk G. Ph., ... Kupriyanov M. C. (2003) Neural-fuzzy systems Network, Vol. 9, No 2,- ... ), Number 1 (27), 2007 Adaptive Networks Safety Control on Fuzzy Logic Vadim MUKHIN1, Elena ...
Year: 2018, Volume: 18, Number: 3
... Engineering Volume 18, Number 3, 2018 Pulse Coupled Neural Network based Near- Duplicate Detection of Images ( ... copyright protection, feature extraction, image processing, neural networks. I. INTRODUCTION a) Original Image b ... ND Image In this modern era, exposures to social network and in Figure 1. Example of ND Image ...
Year: 2020, Volume: 20, Number: 2
... The ARIMA is widely Machine (SVM), Autoregressive Neural Network, LSTM, used because of its simplicity ... a prediction model for the models such as artificial neural networks (ANNs) have been activities of companies [ ... ] using the exponential proposed [10]. The ANNs can be used to predict the next correction, ...
Year: 2014, Volume: 14, Number: 1
... the model performed by Learning (ML) and Artificial Neural Networks (ANN) have Multilayer Perceptron classifier has ... best performance been applied to solve the STLF problems [1]. compared to the models of other classifiers ... function for an artificial neural functioning of the developed neural network (NN) method network in their study. ...
Year: 2019, Volume: 19, Number: 4
... , pp. 452-454, August 2006. doi: neural network for forecasting electricity demand," Energies, ... the stated problem are explained. Design of the matching networks For a dual band operation matching network design with ... Volume 19, Number 4, 2019 Tri-band Impedance Matching Network Design Using Particle Swarm Optimization Algorithm Sadık ÜLKER Electrical ...
Year: 2016, Volume: 16, Number: 3
... on temperature dynamics from the information provided by the artificial neural networks can be useful to deal with this train-test ... produced by the partition methods. Each problem, because of their ability to represent both linear and model adjusts ... of the test samples. In this paper different neural network models are analyzed, including non-linear autoregressive neural networks ...
Year: 2022, Volume: 22, Number: 2
... point cloud features. Finally, an efficient instance segmentation neural network (ABJNet), which is attention-based joint ... post-processing task for semantic cloud perception based on backbone neural networks. This segmentation. They predict instances as clusters ... Technology, Xi'an, China 2 Shaanxi Key Laboratory for Network Computing and Security Technology, Xi'an, China haowen ...
Year: 2012, Volume: 12, Number: 3
... knowledge based property stability, Adaptive Neurofuzzy control, Wavelet neural of fuzzy logic systems and with the learning capability ... that its application domain is limited to static power transmission networks. But the structural expansion problems. Moreover, ... convergence and getting stuck in of existing systems is bounded above by different local minima are well-known short-comings of conventional ...
49. Simulation of Noise-Cancelling in the Cockpit of an Aircraft Using Two-Rate Hybrid Neural Network
Year: 2007, Volume: 7, Issue: 2
... Noise-Cancelling in the Cockpit of an Aircraft Using Two-Rate Hybrid Neural Network Igor ASTROV1, Svetlana TATARLY2, Sergei TATARLY3 ... case of single-rate signal Index Terms — Multi-rate, neural networks, noisy speech, processing. pattern recognition, ... . In [5 ], the problem of single-rate pilot's voice pattern recognition using NN adaptive filter is considered ...
Year: 2022, Volume: 22, Number: 2
... hardly be compared due to different Index Terms — artificial neural networks, computer vision, technology and datasets. ... review papers [6-7] indicate feature extraction, machine learning, object detection. that the most of research ... for building an efficient ML model, should advanced CNN network for drone identification [15]. Vison cover ...
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