Sciweavers

9 search results - page 1 / 2
» Artificial neural networks for solving ordinary and partial ...
Sort
View
TNN
1998
96views more  TNN 1998»
13 years 4 months ago
Artificial neural networks for solving ordinary and partial differential equations
Isaac E. Lagaris, Aristidis Likas, Dimitrios I. Fo...
ICTAI
2008
IEEE
13 years 11 months ago
The Performance of Approximating Ordinary Differential Equations by Neural Nets
—The dynamics of many systems are described by ordinary differential equations (ODE). Solving ODEs with standard methods (i.e. numerical integration) needs a high amount of compu...
Josef Fojdl, Rüdiger W. Brause
JCNS
1998
134views more  JCNS 1998»
13 years 4 months ago
Analytical and Simulation Results for Stochastic Fitzhugh-Nagumo Neurons and Neural Networks
An analytical approach is presented for determining the response of a neuron or of the activity in a network of connected neurons, represented by systems of nonlinear ordinary stoc...
Henry C. Tuckwell, Roger Rodriguez
IJCNN
2006
IEEE
13 years 10 months ago
A Scalable FPGA Implementation of Cellular Neural Networks for Gabor-type Filtering
— We describe an implementation of Gabor-type filters on field programmable gate arrays using the cellular neural network (CNN) architecture. The CNN template depends upon the ...
Ocean Y. H. Cheung, Philip Heng Wai Leong, Eric K....
FECS
2006
159views Education» more  FECS 2006»
13 years 6 months ago
Evolving Mathematical Functions with Genetic Algorithms - A Team Project on Artificial Intelligence
- In contrast to most of the senior level Artificial Intelligence (AI) courses where AI is taught in the jargon of theoretical computer science with crowd of complex matrix algebra...
Zhiguang Xu, Chris Neasbitt, Jared Summers, Bill C...