IJCNN
2006
IEEE
14 years 6 months ago
2006
IEEE
— Recursive Neural Networks (RNNs) and Graph Neural Networks (GNNs) are two connectionist models that can directly process graphs. RNNs and GNNs exploit a similar processing fram...
IJCNN
2006
IEEE
14 years 6 months ago
2006
IEEE
— Neural networks are used in a wide number of fields including signal and image processing, modeling and control and pattern recognition. Some of the most common type of neural ...
IJCNN
2006
IEEE
14 years 6 months ago
2006
IEEE
Abstract— Supervised learning rules for spiking neural networks are currently only able to use time-to-first-spike coding and are plagued by very irregular learning curves due t...
IJCNN
2006
IEEE
14 years 6 months ago
2006
IEEE
Abstract— Dynamic neural networks with different timescales include the aspects of fast and slow phenomenons. Some applications require that the equilibrium points of these netwo...
IJCNN
2006
IEEE
14 years 6 months ago
2006
IEEE
— The idea of using evolutionary techniques to optimize the performance of neural networks is now widely used, but some approaches have been found to result in the evolution of r...
IJCNN
2006
IEEE
14 years 6 months ago
2006
IEEE
— This paper applies a recently developed neural network called plausible neural network (PNN) to function approximation. Instead of using error correction, PNN estimates the mut...
IEEEICCI
2006
IEEE
14 years 6 months ago
2006
IEEE
This paper investigates possible connection strategies in sparsely connected associative memory models. This is interesting because real neural networks must have both efficient p...
CONIELECOMP
2006
IEEE
14 years 6 months ago
2006
IEEE
This paper presents a wavelet neural-network for learning and approximation of chaotic time series. Wavelet-networks are inspired by both feed-forward neural networks and the theo...
CIG
2006
IEEE
14 years 6 months ago
2006
IEEE
— In this paper, coevolution is used to evolve Artificial Neural Networks (ANN) which evaluate board positions of a two player zero-sum game (The Virus Game). The coevolved neura...
KES
2007
Springer
14 years 6 months ago
2007
Springer
The paper offers a critical analysis of the procedure observed in many applications of neural networks. Given a problem to be solved, a favorite NN-architecture is chosen and its p...