A Descriptive Encoding Language for Evolving Modular Neural Networks

Evolutionary Design of Artificial Neural Networks Using a Descriptive Encoding Language

Title of dissertation: Evolutionary Design of Artificial Neural Networks Using a Descriptive Encoding Language Jae-Yoon Jung, Doctor of Philosophy, 2007 Dissertation directed by: Dr. James A. Reggia Department of Computer Science Automated design of artificial neural networks by evolutionary algorithms (neuroevolution) has generated much recent research both because successful approaches will f...

A General Framework for Encoding and Evolving Neural Networks

In this paper we present a novel general framework for encoding and evolving networks called Common Genetic Encoding (CGE) that can be applied to both direct and indirect encoding methods. The encoding has important properties that makes it suitable for evolving neural networks: (1) It is complete in that it is able to represent all types of valid phenotype networks. (2) It is closed, i. e. eve...

Cooperative Co-Evolving Neural Networks for Robosoccer Simulation

Evolving scalable and modular adaptive networks with Developmental Symbolic Encoding

Evolutionary neural networks, or neuroevolution, appear to be a promising way to build versatile adaptive systems, combining evolution and learning. One of the most challenging problems of neuroevolution is finding a scalable and robust genetic representation, which would allow to effectively grow increasingly complex networks for increasingly complex tasks. In this paper we propose a novel dev...

معرفی شبکه های عصبی پیمانه ای عمیق با ساختار فضایی-زمانی دوگانه جهت بهبود بازشناسی گفتار پیوسته فارسی

In this article, growable deep modular neural networks for continuous speech recognition are introduced. These networks can be grown to implement the spatio-temporal information of the frame sequences at their input layer as well as their labels at the output layer at the same time. The trained neural network with such double spatio-temporal association structure can learn the phonetic sequence...