The generalized maze problem has been considered as an interesting testbed by various researchers in AI and neural networks. The most significantresults, fiom a neural networks po...
Multilayer perceptrons are often trained using error backpropagation (BP). BP training can be done in either a batch or continuous manner. Claims have frequently been made that bat...
: A system for learning the pre-grasp positioning task for a robot manipulator is presented. The images delivered from a gripper mounted camera are analysed using Gabor filters wh...
In the Support Vector Machines (SVM) framework, the positive-definite kernel can be seen as representing a fixed similarity measure between two patterns, and a discriminant func...
The transition to democracy in South Africa has brought with it certain challenges. The main challenge is to get rid of crime and corruption.This paper presents a technique to com...
: This paper presents the design of a neurocontroller for a turbogenerator that augments/replaces the conventional Automatic Voltage Regulator (AVR) and the turbine governor. The n...
Ganesh K. Venayagamoorthy, Ronald G. Harley, Donal...
Bayesian MLP neural networks are a flexible tool in complex nonlinear problems. The approach is complicated by need to evaluate integrals over high-dimensional probability distri...