Filters
Assembly Neural Network with Nearest-Neighbor Recognition Algorithm
An assembly neural network based on binary Hebbian rule is suggested for pattern recognition. The network consists of several sub-networks according to the number of classes to be recognized. Each sub-network consists of se...
BA - Obecná matematika
- 2005 •
- Jx
Rok uplatnění
Jx - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)
Binary Factorization by Neural Autoassociator.
He unsupervised learning of feature extraction in high-dimensional patterns is a central problem for neural network approach. Feature extraction is the procedure which maps original patterns into the features (or factors) space of reduced dimension. ...
JC - Počítačový hardware a software
- 2003 •
- D
Rok uplatnění
D - Stať ve sborníku
On Informational Characteristics of Willshaw-Like Auto-Associative Memory.
A sparsely encoded Willshaw-like attractor neural network based on the binary Hebbian synapses is investigated analytically and by computer simulations. A special inhibition mechanism which supports a constant number of active neuro...
BA - Obecná matematika
- 2002 •
- Jx
Rok uplatnění
Jx - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)
Neural Network Binary Factorization as a Tool for Large Dataset Clustering
that Hebbian learningin Hopfield-like neural network is a natural procedure for binary a single inhibitory neuron with bi-directional Hebbian synapses. Due to additional......
BB - Aplikovaná statistika, operační výzkum
- 2004 •
- D
Rok uplatnění
D - Stať ve sborníku
Binary Factorization by Neural Autoassociators.
In this paper we demonstrate that Hebbian learning in Hopfield-like neural network is a natural procedure for binary factorization. Due to this learning, factors become the attractors of network dynamics. The neurodynamics is analyz...
BD - Teorie informace
- 2003 •
- D
Rok uplatnění
D - Stať ve sborníku
Binary Factorization in Hopfield-Like Neural Autoassociator: A Promising Tool for Data Compression.
Proposed approach of data compression is based on feature extraction procedure which maps original patterns into features (factors) space of reduced, possibily very small, dimension. It is shown that Hebbian unsupervised learning of Hopfield...
JD - Využití počítačů, robotika a její aplikace
- 2003 •
- D
Rok uplatnění
D - Stať ve sborníku
Binary Factorization in Hopfield-Like Neural Networks: Single-Step Approximation and Computer Simulations
The unsupervised learning of feature extraction in high-dimensional patterns space is a central problem for the neural network approach. Feature extraction is a procedure which maps original patterns into the feature (or factor) space of reduced dime...
BA - Obecná matematika
- 2004 •
- Jx
Rok uplatnění
Jx - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)
Uncertainty Propagation in Fuzzy Grey Cognitive Maps With Hebbian-Like Learning Algorithms
with the problem of uncertainty propagation in FGCM dynamics with Hebbian learning. In addition, this paper applies differential Hebbian learning (DHL) and balanced DHL to FGCMs that the nonlinear Hebbian learning is the c...
Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
- 2019 •
- Jimp •
- Link
Rok uplatnění
Jimp - Článek v periodiku v databázi Web of Science
Výsledek na webu
Attractor Neural Network Combined with Likelihood Maximization Algorithm for Boolean Factor Analysis
When large data sets are analyzed, the pursuit of their appropriate representation in the space of lower dimension is a common practice. Boolean factor analysis can serve as a powerful tool to solve the task, when dealing with binary data. H...
IN - Informatika
- 2012 •
- D
Rok uplatnění
D - Stať ve sborníku
Neural PCA and maximum likelihood hebbian learning on the GPU
This study introduces a novel fine-grained parallel implementation of a neural principal component analysis (neural PCA) variant and the maximum Likelihood Hebbian Learning (MLHL) network designed for modern many-core graphics processing uni...
IN - Informatika
- 2012 •
- D •
- Link
Rok uplatnění
D - Stať ve sborníku
Výsledek na webu
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