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NC
1998
13 years 11 months ago
An Addition to Backpropagation for Computing Functional Roots
Many processes are composed of a n-fold repetition of some simpler process. If the whole process can be modeled with a neural network, we present a method to derive a model of the...
Lars Kindermann
NC
1998
138views Neural Networks» more  NC 1998»
13 years 11 months ago
Parallel Adaptive Genetic Algorithm
In this paper we introduce an efficient implementation of asynchronously parallel genetic algorithm with adaptive genetic operators. The classic genetic algorithm paradigm is exte...
Leo Budin, Marin Golub, Domagoj Jakobovic
NC
1998
106views Neural Networks» more  NC 1998»
13 years 11 months ago
Auditory Stimulus Discrimination from MEG Data
We consider Magnetoencephalographic (MEG) data in a signal detection framework. Our data set consists of responses evoked by the voiced syllables /b
Tuomas J. Lukka, Bernd Schoner, Alec Marantz
NC
1998
118views Neural Networks» more  NC 1998»
13 years 11 months ago
BRAINN: A Connectionist Approach to Symbolic Reasoning
Hybrid connectionist symbolic systems have been the subject of much recent research in AI. By focusing on the implementation of high-level human cognitive processes (e.g., rule-ba...
Rafal Bogacz, Christophe G. Giraud-Carrier
ICONIP
1998
13 years 11 months ago
Statistical Methods for Construction of Neural Networks
Despite all the progress in neural networks the technology is still brittle and sometimes difficult to apply. Automatic construction of networks and proper initialization of their...
Wlodzislaw Duch, Rafal Adamczak
ICONIP
1998
13 years 11 months ago
Inducing Relational Concepts with Neural Networks via the LINUS System
This paper presents a method to induce relational concepts with neural networks using the inductive logic programming system LINUS. Some first-order inductive learning tasks taken...
Rodrigo Basilio, Gerson Zaverucha, Artur S. d'Avil...
FLAIRS
2000
13 years 11 months ago
Systematic Treatment of Failures Using Multilayer Perceptrons
This paper discusses the empirical evaluation of improving generalization performance of neural networks by systematic treatment of training and test failures. As a result of syst...
Fadzilah Siraj, Derek Partridge
FLAIRS
2000
13 years 11 months ago
Comparing Performance of Neural Networks Applied to a Simplified Recognition Problem
In this note we present and discuss results of experiments comparing the performance of six neural network architectures (back propagation, recurrent network with dampened feedbac...
Marcin Paprzycki, Rick Niess, Jason Thomas, Lenny ...
FLAIRS
1998
13 years 11 months ago
Multi-Version Systems of Neural Networks for Predicting the Risk of Osteoporosis
This paper describes the methodology of developing multiversion systems using neural networks in the hope of improving their performance and reliability. However, a system impleme...
Wenjia Wang, Derek Partridge, Sarah Rae
NIPS
2003
13 years 11 months ago
Reasoning about Time and Knowledge in Neural Symbolic Learning Systems
We show that temporal logic and combinations of temporal logics and modal logics of knowledge can be effectively represented in artificial neural networks. We present a Translat...
Artur S. d'Avila Garcez, Luís C. Lamb