Sciweavers

ESANN
2004
14 years 26 days ago
Neuro-predictive control based self-tuning of PID controllers
: In this paper we present a new self-tuning procedure for PID controllers based on neuro-predictive control. A finite horizon optimal control problem is solved on-line, permitting...
Corneliu Lazar, Sorin Carari, Draguna Vrabie, Mari...
ESANN
2004
14 years 26 days ago
Bias Term b in SVMs Again
Te Ming Huang, Vojislav Kecman
ESANN
2004
14 years 26 days ago
Modelling of biologically plausible excitatory networks: emergence and modulation of neural synchrony
To emphasize the electrical nature of information processing in the brain we use a compartmental model of single neurons. The realistic simulation of wave-like activity in the recu...
Karsten Kube, Andreas Herzog, Vadym Spravedlyvyy, ...
ESANN
2004
14 years 26 days ago
Forbidden Magnification? I
This paper presents some interesting results obtained by the algorithm by Bauer, Der and Hermann (BDH) [1] for magnification control in Self-Organizing Maps. Magnification control ...
Abha Jain, Erzsébet Merényi
ESANN
2004
14 years 26 days ago
Learning by geometrical shape changes of dendritic spines
The role of dendritic spines in neuronal information processing is still not completely clear. However, it is known that spines can change shape rapidly during development and duri...
Andreas Herzog, Vadym Spravedlyvyy, Karsten Kube, ...
ESANN
2004
14 years 26 days ago
Input Space Bifurcation Manifolds of RNNs
We derive analytical expressions of local codim-1-bifurcations for a fully connected, additive, discrete-time RNN, where we regard the external inputs as bifurcation parameters. Th...
Robert Haschke, Jochen J. Steil
ESANN
2004
14 years 26 days ago
Neural methods for non-standard data
Standard pattern recognition provides effective and noise-tolerant tools for machine learning tasks; however, most approaches only deal with real vectors of a finite and fixed dime...
Barbara Hammer, Brijnesh J. Jain
ESANN
2004
14 years 26 days ago
Dimensionality reduction and classification using the distribution mapping exponent
: Probability distribution mapping function, which maps multivariate data distribution to the function of one variable, is introduced. Distributionmapping exponent (DME) is somethi...
Marcel Jirina