This paper outlines an algorithm for incrementally growing Artificial Neural Networks. The
algorithm allows the network to expand by adding new sub-networks or modules to an …

This paper outlines a system that allows a neural network, which is used to control a robot, to
evolve in a structured but open-ended way. The final intention of the research is that, as the …

ABSTRACT Artificial Neural Networks have so far failed to produce a convincing route to
Robotic Intelligence. Training and Organizational Algorithms (such as Evolutionary …

This thesis describes a novel approach to the evolution of Modular Artificial Neural
Networks. Standard Evolutionary Algorithms, used in this application include: Genetic …

A recursive learning algorithm based on the rough sets approach to parameter estimation for
radial basis function neural networks is proposed. The algorithm is intended for the pattern …

Connectionist approaches to Artificial Intelligence are almost always based on Artificial
Neural Networks. However, there is another route towards Parallel Distributed Processing …

This report considers some of the practical issues involved in the implementation of
Incremental Growth or Incremental Evolution algorithms as outlined in the paper …

This paper reports on experiments investigating the use of Evolutionary Algorithms to train
Artificial Neural Networks in real time. A simulated legged mobile robot was used as a test …