Cooperative Recurrent Neural Network for Multiclass Support Vector Machine Learning
ISNN 2009 Proceedings of the 6th International Symposium on Neural Networks: Advances in Neural Networks - Part II
An on-chip-trainable Gaussian-Kernel analog support vector machine
IEEE Transactions on Circuits and Systems Part I: Regular Papers
A systematic approach to embedded biomedical decision making
Computer Methods and Programs in Biomedicine
Solving general convex nonlinear optimization problems by an efficient neurodynamic model
Engineering Applications of Artificial Intelligence
Efficient sparse least squares support vector machines for pattern classification
Computers & Mathematics with Applications
| Hi-index | 0.00 |
The recurrent network of Xia et al. (1996) was proposed for solving quadratic programming problems and was recently adapted to support vector machine (SVM) learning by Tan et al. (2000). We show that this formulation contains some unnecessary circuits which, furthermore, can fail to provide the correct value of one of the SVM parameters and suggest how to avoid these drawbacks.