Sciweavers

186 search results - page 12 / 38
» Computational Properties of Probabilistic Neural Networks
Sort
View
IJCNN
2007
IEEE
14 years 1 months ago
System Identification for the Hodgkin-Huxley Model using Artificial Neural Networks
— A single biological neuron is able to perform complex computations that are highly nonlinear in nature, adaptive, and superior to the perceptron model. A neuron is essentially ...
Manish Saggar, Tekin Meriçli, Sari Andoni, ...
ICONIP
2010
13 years 6 months ago
Improving Recurrent Neural Network Performance Using Transfer Entropy
Abstract. Reservoir computing approaches have been successfully applied to a variety of tasks. An inherent problem of these approaches, is, however, their variation in performance ...
Oliver Obst, Joschka Boedecker, Minoru Asada
NCA
2007
IEEE
13 years 7 months ago
Using evolution to improve neural network learning: pitfalls and solutions
: Autonomous neural network systems typically require fast learning and good generalization performance, and there is potentially a trade-off between the two. The use of evolutiona...
John A. Bullinaria
ICPR
2006
IEEE
14 years 8 months ago
Rotation-Invariant Neoperceptron
Approaches based on local features and descriptors are increasingly used for the task of object recognition due to their robustness with regard to occlusions and geometrical defor...
Beat Fasel, Daniel Gatica-Perez
ICIC
2005
Springer
14 years 1 months ago
Associativity, Auto-reversibility and Question-Answering on Q'tron Neural Networks
Associativity, auto-reversibility and question-answering are the three intrinsic functions to be investigated for the proposed Q’tron Neural Network (NN) model. A Q’tron NN pos...
Tai-Wen Yue, Mei-Ching Chen