[LIBRO][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 …
[HTML][HTML] Novel logic mining incorporating log linear approach
Mining the best logical rule from the data is a challenging task because not all attribute of the
dataset will contribute towards the optimal logical representation. Even if the correct …
dataset will contribute towards the optimal logical representation. Even if the correct …
[LIBRO][B] Neural networks in a softcomputing framework
Conventional model-based data processing methods are computationally expensive and
require experts' knowledge for the modelling of a system. Neural networks are a model-free …
require experts' knowledge for the modelling of a system. Neural networks are a model-free …
[LIBRO][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 …
Boundedness and complete stability of complex-valued neural networks with time delay
B Zhou, Q Song - IEEE Transactions on Neural Networks and …, 2013 - ieeexplore.ieee.org
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 …
Ratio rule and homomorphic filter for enhancement of digital colour image
Digital colour image enhancement using a homomorphic filter provides good dynamic range
compression, but it fails in colour rendition. In this letter, we propose to perform natural …
compression, but it fails in colour rendition. In this letter, we propose to perform natural …
Multilayer feedforward neural network based on multi-valued neurons (MLMVN) and a backpropagation learning algorithm
A multilayer neural network based on multi-valued neurons (MLMVN) is considered in the
paper. A multi-valued neuron (MVN) is based on the principles of multiple-valued threshold …
paper. A multi-valued neuron (MVN) is based on the principles of multiple-valued threshold …
Global stability criterion for delayed complex-valued recurrent neural networks
The stability problem for delayed complex-valued recurrent neural networks is considered in
this paper. By separating complex-valued neural networks into real and imaginary parts …
this paper. By separating complex-valued neural networks into real and imaginary parts …
Complex-valued multistate associative memory with nonlinear multilevel functions for gray-level image reconstruction
G Tanaka, K Aihara - IEEE Transactions on Neural Networks, 2009 - ieeexplore.ieee.org
A widely used complex-valued activation function for complex-valued multistate Hopfield
networks is revealed to be essentially based on a multilevel step function. By replacing the …
networks is revealed to be essentially based on a multilevel step function. By replacing the …
Applications of quantum inspired computational intelligence: a survey
This paper makes an exhaustive survey of various applications of Quantum inspired
computational intelligence (QCI) techniques proposed till date. Definition, categorization and …
computational intelligence (QCI) techniques proposed till date. Definition, categorization and …