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Akademický článek
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Publikováno v:
SBRN
The databases of real world contains a huge volume of data and among them there are hidden piles of interesting relations that are actually very hard to find out. The knowledge discovery databases (KDD) appear as a possible solution to find out such
Publikováno v:
ISDA
Nowadays, images are fundamental data source in modern medicine. The images stored in a database according with categories are an important step for data mining and content-based image retrieval (CBIR). These can support doctors and students in diagn
Autor:
E. Del Moral Hernandez
Publikováno v:
IJCNN
This paper addresses recurrent neural architectures based on coupled bifurcating nodes that exhibit chaotic dynamics. The nodes are composed of logistic recursive maps, which interact through parametric coupling, i.e., through dynamic modulation of t
Autor:
E. Del Moral Hernandez
Publikováno v:
Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005..
This paper addresses recurrent neural architectures based on bifurcating nodes that exhibit chaotic dynamics. These nodes interact through parametric coupling, self organize, and the network evolves to spatio-temporal attractors that encode stored pa
Autor:
E. Del Moral Hernandez
Publikováno v:
IJCNN
This paper addresses neural architectures based on coupled nodes that exhibit chaotic dynamics, and it establishes the relationship between these networks and bifurcating spiking model neurons based on the integrate and fire model neuron. The nodes o
Autor:
E. Del Moral Hernandez, L. da Silva
Publikováno v:
2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541).
This paper addresses a new hybrid neural network, which joins the classical multi layer perceptron (MLP) with a neural network composed of coupled recursive processing elements (RPEs). The individual characteristics of each one of these architectures
Publikováno v:
2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541).
This paper addresses forms of adapting patterns that have to be stored in a Hopfield neural network that contains a higher number of nodes than the dimension of such patterns we desire to store. With a brief introduction about the Hopfield network st
Publikováno v:
48th Midwest Symposium on Circuits and Systems, 2005..
A fully integrated CMOS implementation of an integrated-circuit relaxation oscillator neuron, IRON, is proposed. The circuit was designed using a 0.35 /spl mu/m technology. Simulation results show that the circuit is capable of generating bifurcation