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A survey of complex-valued neural networks
Artificial neural networks (ANNs) based machine learning models and especially deep
learning models have been widely applied in computer vision, signal processing, wireless …
learning models have been widely applied in computer vision, signal processing, wireless …
[ספר][B] Complex-valued neural networks
A Hirose - 2006 - Wiley Online Library
Complex-valued neural networks Complex-Valued Neural Networks Page 2 IEEE Press 445
Hoes Lane Piscataway, NJ 08854 IEEE Press Editorial Board 2013 John Anderson, Editor in …
Hoes Lane Piscataway, NJ 08854 IEEE Press Editorial Board 2013 John Anderson, Editor in …
Generalization characteristics of complex-valued feedforward neural networks in relation to signal coherence
Applications of complex-valued neural networks (CVNNs) have expanded widely in recent
years-in particular in radar and coherent imaging systems. In general, the most important …
years-in particular in radar and coherent imaging systems. In general, the most important …
[ספר][B] Complex-valued neural networks with multi-valued neurons
I Aizenberg - 2011 - Springer
The use of complex numbers in neural networks is as natural as their use in other
engineering areas and in mathematics. The history of complex numbers shows that although …
engineering areas and in mathematics. The history of complex numbers shows that although …
A unified approach of multi-scale deep and hand-crafted features for defocus estimation
In this paper, we introduce robust and synergetic hand-crafted features and a simple but
efficient deep feature from a convolutional neural network (CNN) architecture for defocus …
efficient deep feature from a convolutional neural network (CNN) architecture for defocus …
Blind and semi-blind deblurring of natural images
A method for blind image deblurring is presented. The method only makes weak
assumptions about the blurring filter and is able to undo a wide variety of blurring …
assumptions about the blurring filter and is able to undo a wide variety of blurring …
Boundedness and complete stability of complex-valued neural networks with time delay
In this paper, the boundedness and complete stability of complex-valued neural networks
(CVNNs) with time delay are studied. Some conditions to guarantee the boundedness of the …
(CVNNs) with time delay are studied. Some conditions to guarantee the boundedness of the …
Recent progress in applications of complex-valued neural networks
A Hirose - International Conference on Artificial Intelligence and …, 2010 - Springer
Recent Progress in Applications of Complex-Valued Neural Networks Page 1 Recent
Progress in Applications of Complex-Valued Neural Networks Akira Hirose Department of …
Progress in Applications of Complex-Valued Neural Networks Akira Hirose Department of …
Multilayer neural network with multi-valued neurons in time series forecasting of oil production
In this paper, we discuss the long-term time series forecasting using a Multilayer Neural
Network with Multi-Valued Neurons (MLMVN). This is a complex-valued neural network with …
Network with Multi-Valued Neurons (MLMVN). This is a complex-valued neural network with …
Predicting component reliability and level of degradation with complex-valued neural networks
In this paper, multilayer feedforward neural networks based on multi-valued neurons
(MLMVN), a specific type of complex valued neural networks, are proposed to be applied to …
(MLMVN), a specific type of complex valued neural networks, are proposed to be applied to …