Výsledky vyhledávání - "complex backpropagation algorithm"

The complex backpropagation algorithm Autor Leung, H., Haykin, S.

“…The backpropagation (BP) algorithm that provides a popular method for the design of a multilayer neural network to include complex coefficients and complex…”
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Analysis of the Initial Values in Split-Complex Backpropagation Algorithm Autor Sheng-Sung Yang, Siu, S., Chia-Lu Ho

“…When a multilayer perceptron (MLP) is trained with the split-complex backpropagation (SCBP) algorithm, one observes a relatively strong dependence of the…”
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Convergence analysis of fully complex backpropagation algorithm based on Wirtinger calculus Autor Zhang, Huisheng, Liu, Xiaodong, Xu, Dongpo, Zhang, Ying

“…This paper considers the fully complex backpropagation algorithm (FCBPA) for training the fully complex-valued neural networks…”
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On the complex backpropagation algorithm Autor Benvenuto, N., Piazza, F.

“…A recursive algorithm for updating the coefficients of a neural network structure for complex signals is presented. Various complex activation functions are…”
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Complex-Valued Neural Networks: A Comprehensive Survey Autor Lee, ChiYan, Hasegawa, Hideyuki, Gao, Shangce

“…Complex-valued neural networks (CVNNs) have shown their excellent efficiency compared to their real counter-parts in speech enhancement, image and signal…”
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Convergence of Batch Split-Complex Backpropagation Algorithm for Complex-Valued Neural Networks Autor Zhang, Huisheng, Zhang, Chao, Wu, Wei

“…The batch split-complex backpropagation (BSCBP) algorithm for training complex-valued neural networks is considered. For constant learning rate, it is proved…”
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Convergence of Split-Complex Backpropagation Algorithm with a Momentum Autor Zhang, Huisheng, Wu, Wei

“…This paper investigates a split-complex backpropagation algorithm with momentum (SCBPM) for complex-valued neural networks…”
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Convergence of Batch Split-Complex Backpropagation Algorithm for Complex-Valued Neural Networks Autor Zhang, Huisheng, Zhang, Chao, Wu, Wei

“…The batch split-complex backpropagation (BSCBP) algorithm for training complex-valued neural networks is considered. For constant learning rate, it is proved…”
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A normalised complex backpropagation algorithm Autor Hanna, Andrew I., Mandic, Danilo P.

“…A backpropagation based algorithm for training nonlinear complex valued feed-forward neural networks employed as nonlinear adaptive filters is derived. The…”
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CAD modeling of complex resonant frequencies of a rectangular microstrip patch with a superstrate using complex backpropagation algorithm Autor Panda, Dhruba C., Patnaik, Prabhat K.

“…This paper presents application of complex neural network for calculating complex resonating frequency of microstrip patch antenna on superstrate. The results…”
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Noise Benefits in Complex-Valued Neural Networks Autor Ren, Lei, Liu, Chunyang, Zhang, Ying

“… We first establish the equivalence between the complex backpropagation algorithm and the complex expectation maximization algorithm from the perspective of maximum probability likelihood estimation…”
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Decision feedback equalization using complex backpropagation algorithm Autor Ching-Haur Chang, Sammy Siu, Che-Ho Wei

“…A decision feedback equalizer (DFE) using complex backpropagation (CBP) algorithm is presented in this paper. In passband multilevel signaling systems,…”
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Adaptive equalization using the complex backpropagation algorithm Autor Cheolwoo You, Daesik Hong

“…For decreasing intersymbol interference (ISI) due to band-limited channels in digital communication, the uses of equalization techniques are necessary. Among…”
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Ability of the complex backpropagation algorithm to learn similar transformation Autor Nitta, T.

“…It has been discovered by computational experiments that the "complex-BP" algorithm can transform geometrical figures (e.g. rotation, similar transformation…”
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Nonlinear blind equalization schemes using complex-valued multilayer feedforward neural networks Autor YOU, C, HONG, D

“…Among the useful blind equalization algorithms, stochastic-gradient iterative equalization schemes are based on minimizing a nonconvex and nonlinear cost…”
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A phenomenological model of whole brain dynamics using a network of neural oscillators with power-coupling Autor Bandyopadhyay, Anirban, Ghosh, Sayan, Biswas, Dipayan, Chakravarthy, V. Srinivasa, S. Bapi, Raju

“…We present a general, trainable oscillatory neural network as a large-scale model of brain dynamics. The model has a cascade of two stages - an oscillatory…”
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Complex-Valued Convolutional Neural Network and Its Application in Polarimetric SAR Image Classification Autor Zhang, Zhimian, Wang, Haipeng, Xu, Feng, Jin, Ya-Qiu

“… Moreover, a complex backpropagation algorithm based on stochastic gradient descent is derived for CV-CNN training…”
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Class factorized complex variational auto-encoder for HRR radar target recognition Autor Liao, Leiyao, Du, Lan, Chen, Jian

“…•A class factorized complex variational auto-encoder is proposed and used for RATR.•Our model is a complex-valued neural network for utilizing the phase of HRR…”
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A novel self‐supervised ensemble learning framework for land use and land cover classification of polarimetric synthetic aperture radar images Autor Darvishnezhad, Mohsen, Sebt, Mohammad Ali

“…Classification with a few samples of training set has been a longstanding issue in the field of polarimetric synthetic aperture radar (PolSAR) image analysis…”
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A new model based on multi-aspect images and complex-valued neural network for synthetic aperture radar automatic target recognition Autor Darvishnezhad, Mohsen, Sebt, Mohammad Ali

“…During the last decades, Synthetic Aperture Radar Automatic Target Recognition (SAR ATR) has been vastly utilized in the military services and civil studies…”
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