This report considers some of the practical issues involved in the implementation of Incremental Growth or Incremental Evolution algorithms as outlined in the paper: Incremental Growth in Modular Neural Networks (doi:10.1016/j.engappai.2008.11.002), originally published in the journal Engineering Applications of Artificial Intelligence and the article: Minds for Robots, published in the magazine Electronics World. These algorithms allow a Neural Network or similar system to grow, piece by piece, in a controlled manner. The sections below consider the data structures, algorithms and programming techniques which can be used and also addresses unit functionality and possibilities for interesting further work
The importance of the problem of designing learning machines rests on the promise of one day deliver...
Artificial neural networks (ANNs) are applied to many real-world problems, ranging from pattern clas...
We will describe recent developments in a system for machine learning that we’ve been working on for...
This report considers some of the practical issues involved in the implementation of Incremental Gro...
This paper outlines an algorithm for incrementally growing Artificial Neural Networks. The algorithm...
This thesis describes a novel approach to the evolution of Modular Artificial Neural Networks. Stand...
The research presented in this thesis is concerned with optimising the structure of Artificial Neura...
This thesis describes a novel approach to the evolution of Modular Artificial Neural Networks. Stand...
In the paper a new method to develop neural networks is proposed. The method is based on the idea of...
M.Ing. (Electrical And Electronic Engineering)This dissertation describes the development of a syste...
This paper reports on experiments investigating the use of Evolutionary Algorithms to train Artifici...
Many experiments have been performed that use evolutionary algorithms for learning the topology and ...
Published ArticlePeople have tried different ways to make machines intelligent. One option is to use...
In this contribution we present a novel method, called Evolutionary Acquisition of Neural Topologies...
International audienceIn general, the topology of Artificial Neural Networks (ANNs) is human-enginee...
The importance of the problem of designing learning machines rests on the promise of one day deliver...
Artificial neural networks (ANNs) are applied to many real-world problems, ranging from pattern clas...
We will describe recent developments in a system for machine learning that we’ve been working on for...
This report considers some of the practical issues involved in the implementation of Incremental Gro...
This paper outlines an algorithm for incrementally growing Artificial Neural Networks. The algorithm...
This thesis describes a novel approach to the evolution of Modular Artificial Neural Networks. Stand...
The research presented in this thesis is concerned with optimising the structure of Artificial Neura...
This thesis describes a novel approach to the evolution of Modular Artificial Neural Networks. Stand...
In the paper a new method to develop neural networks is proposed. The method is based on the idea of...
M.Ing. (Electrical And Electronic Engineering)This dissertation describes the development of a syste...
This paper reports on experiments investigating the use of Evolutionary Algorithms to train Artifici...
Many experiments have been performed that use evolutionary algorithms for learning the topology and ...
Published ArticlePeople have tried different ways to make machines intelligent. One option is to use...
In this contribution we present a novel method, called Evolutionary Acquisition of Neural Topologies...
International audienceIn general, the topology of Artificial Neural Networks (ANNs) is human-enginee...
The importance of the problem of designing learning machines rests on the promise of one day deliver...
Artificial neural networks (ANNs) are applied to many real-world problems, ranging from pattern clas...
We will describe recent developments in a system for machine learning that we’ve been working on for...