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Search results for: neural network
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Year: 2021, Volume: 21, Number: 3
... of Diabetic Retinopathy Disease with Transfer Learning using Deep Convolutional Neural Networks Krishnamoorthy SOMASUNDARAM1, Paulraj SIVAKUMAR1, Durairaj SURESH2 ... Department of Information Technology, PSG College of Technology, Coimbatore, Tamil Nadu, India 2 Department of Computer ... In general, using deep information, a Convolutional Neural Network (CNN) models which possesses an image with ...
Year: 2022, Volume: 22, Number: 2
... 2022 A Novel Approach to Speech Enhancement Based on Deep Neural Networks Maryam SALEHI, Sattar MIRZAKUCHAKI Department of Electrical ... , Iran University of Science& Technology, Tehran, Iran m_kuchaki@iust.ac.ir 1 Abstract — Minimum mean-square error ... In this paper, a long short-term memory fully convolutional network (LSTM-FCN) is utilized Among the most speech ...
Year: 2011, Volume: 11, Number: 1
... 1, 2011 Blind Source Separation for Convolutive Mixtures with Neural Networks Botond Sandor KIREI, Marina Dana ŢOPA, ... MURESAN, Ioana HOMANA, Norbert TOMA Technical University of Cluj Napoca str. Memorandumului, nr. 28, ... be convolutive ones. Time domain algorithms (as neural network based blind source separation) are not suitable propagation ...
Year: 2018, Volume: 18, Number: 3
... of High Speed Tangent Sigmoid Transfer Function Approximations for Artificial Neural Network Applications on FPGA Ismail KOYUNCU Afyon Kocatepe University ... the nonlinear functions used in Artificial based applications. Neural Networks (ANNs). As TSTF includes exponential Transfer ... used in ANNs are generally divided function operations, hardware-based implementation of this into two types: Linear and non-linear ...
Year: 2021, Volume: 21, Number: 3
... Number 3, 2021 Robust 2-bit Quantization of Weights in Neural Network Modeled by Laplacian Distribution Zoran PERIC, Bojan ... , high-resolution quantizers are addition to compression, in neural networks, the application of usually used, increasing complexity ... In this paper, we came quantizer models that are robust to changes in the variance of input data is ...
Year: 2010, Volume: 10, Issue: 3
... of the feeder responses to impulse waves which an artificial neural network(ANN). Wavelet packet is firstly ... paper, a new approach based on the wavelet packet networks, Fault detection, High impedance fault, Wavelet ... , is used to discriminate the HIF current from packet. currents of capacitor switching, line and load switching ...
Year: 2018, Volume: 18, Number: 2
... have been introduced for speaker verification [1] and neural network (DNN) for age identification from voice ... approximately 4% absolute performance. Nowadays, deep neural networks (DNN) have improvement with the combination compared ... the best been the most popular approach in many machine learning standalone system. problems thanks to the introduction of ...
Year: 2011, Volume: 11, Number: 2
... 2011 A New Filter Design Method for Disturbed Multilayer Hopfield Neural Networks Choon Ki AHN Faculty of the Department of ... Engineering, Seoul National University of Science& Technology 172 Gongneung 2-dong, Nowon-gu, Seoul 139-743, Korea hironaka ... the states of neural Consider the following multilayer Hopfield neural network networks using measurements and then use the estimated with ...
Year: 2018, Volume: 18, Number: 1
... for action support vector machines (SVM), and neural networks (NN) recognition using an acceleration sensor ... The data for the techniques and aggregates their outputs by using fuzzy acceleration sensor of the smartphone has been collected ... assignment of optimal confidence levels of the classifiers. The network, decision tree, and logistic regression for action ...
Year: 2007, Volume: 7, Issue: 1
... ), 2007 Simulation of Missile Autopilot with Two-Rate Hybrid Neural Network System Igor ASTROV1, Sergei TATARLY2, Svetlana ... system under measurement constraints is described. In this neural networks, simulation. system, the feedback controller is ... at the slow rate, while the feedforward controller is updated at the fast rate with a desired sequence. ...
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