TKDE
2008
13 years 4 months ago
2008
UCS is a supervised learning classifier system that was introduced in 2003 for classification in data mining tasks. The representation of a rule in UCS as a univariate classificati...
IJCSA
2007
13 years 4 months ago
2007
This paper studies the design and application of the neural network based adaptive control scheme for autonomous underwater vehicle's (AUV's) depth control system that i...
IJCINI
2007
13 years 4 months ago
2007
The Cognitive Processes of Abstraction and Formal Inferences J. A. Anderson: A Brain-Like Computer for Cognitive Software Applications: the Resatz Brain Project L. Flax: Cognitive ...
PRL
2006
13 years 4 months ago
2006
This work compares and contrasts results of classifying time-domain ECG signals with pathological conditions taken from the MIT
NPL
2006
13 years 4 months ago
2006
The authors previously proposed a self-organizing Hierarchical Cerebellar Model Articulation Controller (HCMAC) neural network containing a hierarchical GCMAC neural network and a ...
NPL
2006
13 years 4 months ago
2006
A novel neural network model is described that implements context-dependent learning of complex sequences. The model utilises leaky integrate-and-fire neurons to extract timing inf...
NN
2006
Springer
13 years 4 months ago
2006
Springer
Optimal performance in two-alternative, free response decision making tasks can be achieved by the drift-diffusion model of decision making - which can be implemented in a neural ...
NCA
2006
IEEE
13 years 4 months ago
2006
IEEE
: The objective of our research is to computationally model word production and its disorders by means of artificial neural networks. In the current study we develop and analyze an...
ESWA
2007
13 years 4 months ago
2007
This paper proposes and explains a data treatment technique to improve the accuracy of a neural network estimator in regression problems, where multi-dimensional input data set is...
ESWA
2007
13 years 4 months ago
2007
In this paper, adaptive neural network sliding-mode controller design approach with decoupled method is proposed. The decoupled method provides a simple way to achieve asymptotic ...