135 search results - page 13 / 27 » Solving the Ill-Conditioning in Neural Network Learning |
131
click to vote
ENGL
2007
15 years 1 months ago
2007
—“A General Reflex Fuzzy Min-Max Neural Network” (GRFMN) is presented. GRFMN is capable to extract the underlying structure of the data by means of supervised, unsupervised a...
115
click to vote
EUROCAST
2007
Springer
15 years 5 months ago
2007
Springer
RND (Radio Network Design) is an important problem in mobile telecommunications (for example in mobile/cellular telephony), being also relevant in the rising area of sensor network...
VLSISP
2002
15 years 1 months ago
2002
Multi-valued and universal binary neurons (MVN and UBN) are the neural processing elements with the complex-valued weights and high functionality. It is possible to implement an a...
142
click to vote
IJCNN
2006
IEEE
15 years 7 months ago
2006
IEEE
— A solution for the slow convergence of most learning rules for Recurrent Neural Networks (RNN) has been proposed under the terms Liquid State Machines (LSM) and Echo State Netw...
115
click to vote
GECCO
2009
Springer
15 years 8 months ago
2009
Springer
A number of representation schemes have been presented for use within Learning Classifier Systems, ranging from binary encodings to neural networks. This paper presents results fr...