9 search results - page 1 / 2 » Sensitivity Analysis for Conic Section Function Neural Netwo... |
IJCNN
2000
IEEE
13 years 9 months ago
2000
IEEE
Sensitivity analysis is a method for extracting the cause and effect relationship between the inputs and outputs of the network. After training a neural network, one may want to k...
ESANN
2008
13 years 6 months ago
2008
The Sensitivity-Based Linear Learning Method (SBLLM) is a learning method for two-layer feedforward neural networks, based on sensitivity analysis, that calculates the weights by s...
IEEEIAS
2009
IEEE
13 years 11 months ago
2009
IEEE
: In this paper, a hash function construction method based on cell neural network (CNN) with hyper-chaos characteristics is proposed. The chaos sequence is generated by iterating C...
WSC
2000
13 years 6 months ago
2000
STRACTION FOR DISCRETE EVENT SYSTEMS USING NEURAL NETWORKS AND SENSITIVITY INFORMATION Christos G. Panayiotou Christos G. Cassandras Department of Manufacturing Engineering Boston ...
IJON
2002
13 years 4 months ago
2002
Image content analysis has become an important issue in multimedia processing. Region-based image retrieval systems attempt to reduce the gap between high-level semantics and low-l...