6 search results - page 1 / 2 » Global Optimisation of Neural Networks Using a Deterministic... |
HIS
2001
13 years 6 months ago
2001
Selection of the topology of a neural network and correct parameters for the learning algorithm is a tedious task for designing an optimal artificial neural...
GECCO
2007
Springer
13 years 11 months ago
2007
Springer
A novel optimisation accelerator deploying neural network predictions and objective space direct manipulation strategies is presented. The concept of directing the search through ...
IJCNN
2007
IEEE
13 years 11 months ago
2007
IEEE
: This paper presents a new approach based on HMM/ANN hybrid for online signature verification. A group of ANNs are used as local probability estimators for an HMM. The Viterbi alg...
BMCBI
2007
13 years 5 months ago
2007
Background: Modeling cancer-related regulatory modules from gene expression profiling of cancer tissues is expected to contribute to our understanding of cancer biology as well as...
IJCNN
2007
IEEE
13 years 11 months ago
2007
IEEE
Abstract— The optimal model parameters of a kernel machine are typically given by the solution of a convex optimisation problem with a single global optimum. Obtaining the best p...