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IJCNN
2000
IEEE
13 years 9 months ago
The Cellular Simultaneous Recurrent Network Adaptive Critic Design for the Generalized Maze Problem Has a Simple Closed-Form Sol
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...
Donald C. Wunsch
IJCNN
2000
IEEE
13 years 9 months ago
Adding Reinforcement Learning Features to the Neural-Gas Method
M. Winter, Giorgio Metta, Giulio Sandini
IJCNN
2000
IEEE
13 years 9 months ago
The Inefficiency of Batch Training for Large Training Sets
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...
D. Randall Wilson, Tony R. Martinez
IJCNN
2000
IEEE
13 years 9 months ago
Learning Fine Positioning of a Robot Manipulator Based on Gabor Wavelets
: 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...
Jörg A. Walter, Bert Arnrich, Christian Schee...
IJCNN
2000
IEEE
13 years 9 months ago
A Neural Support Vector Network Architecture with Adaptive Kernels
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...
Pascal Vincent, Yoshua Bengio
IJCNN
2000
IEEE
13 years 9 months ago
Comparison of Text-Dependent Speaker Identification Methods for Short Distance Telephone Lines Using Artificial Neural Networks
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...
Ganesh K. Venayagamoorthy, Narend Sundepersadh
IJCNN
2000
IEEE
13 years 9 months ago
Comparison of a Heuristic Dynamic Programming and a Dual Heuristic Programming Based Adaptive Critics Neurocontroller for a Turb
: 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...
IJCNN
2000
IEEE
13 years 9 months ago
On MCMC Sampling in Bayesian MLP Neural Networks
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...
Aki Vehtari, Simo Särkkä, Jouko Lampinen