55 search results - page 6 / 11 » An adaptive learning algorithm for a neo fuzzy neuron |
CIBB
2008
13 years 10 months ago
2008
Abstract. Stability is an important property of machine learning algorithms. Stability in clustering may be related to clustering quality or ensemble diversity, and therefore used ...
AAMAS
2007
Springer
14 years 2 months ago
2007
Springer
Abstract. Reinforcement learning (RL) is a widely used learning paradigm for adaptive agents. There exist several convergent and consistent RL algorithms which have been intensivel...
IWANN
2005
Springer
14 years 1 months ago
2005
Springer
— This paper presents an adaptive Power System Stabilizer (PSS) using an Adaptive Network Based Fuzzy Inference System (ANFIS) and Genetic Algorithms (GAs). Firstly, genetic algo...
EUSFLAT
2009
13 years 6 months ago
2009
The aim of this paper is to propose a new Kalman Filter Recurrent Neural Network (KFRNN) topology and a recursive Levenberg-Marquardt (L-M) algorithm of its learning capable to est...
GECCO
2003
Springer
14 years 1 months ago
2003
Springer
Shunting Inhibitory Artificial Neural Networks (SIANNs) are biologically inspired networks in which the synaptic interactions are mediated via a nonlinear mechanism called shuntin...