This paper outlines a neural model, which has been designed to be flexible enough to assume most mathematical functions. This is particularly useful in evolutionary networks as it allows the network complexity to increase without adding neurons. Theory and results are presented, showing the development of both time series and non-time dependent applications
The goal of this work is construction of an artificial life model and simulation of organisms in an ...
The goal of this work is construction of an artificial life model and simulation of organisms in an ...
Neuroevolution, i.e. evolution of artificial neural networks, has recently emerged as a powerful tec...
Abstract|In our previous research, we have pro-posed new network structure with a®ordable neurons in...
Abstract—Computational neuroscience uses networks of arti-ficial neurons to model cognitive function...
This thesis investigates the functionality of the units used in connectionist Artificial Intelligenc...
This thesis investigates the functionality of the units used in connectionist Artificial Intelligenc...
The culmination of this dissertation is to emulate nature\u27s design strategy in the evolution of n...
Abstract—An ambitious long-term goal for neuroevolution, which studies how artificial evolutionary p...
An ambitious long-term goal for neuroevolution, which studies how artificial evolutionary processes ...
An ambitious long-term goal for neuroevolution, which studies how artificial evolutionary processes ...
The topology of artificial neural networks has a significant effect on their performance. Characteri...
The topology of artificial neural networks has a significant effect on their performance. Characteri...
Abstract. NeuroEvolution is the application of Evolutionary Algo-rithms to the training of Artificia...
Neuroevolution, i.e. evolution of artificial neural networks, has recently emerged as a powerful tec...
The goal of this work is construction of an artificial life model and simulation of organisms in an ...
The goal of this work is construction of an artificial life model and simulation of organisms in an ...
Neuroevolution, i.e. evolution of artificial neural networks, has recently emerged as a powerful tec...
Abstract|In our previous research, we have pro-posed new network structure with a®ordable neurons in...
Abstract—Computational neuroscience uses networks of arti-ficial neurons to model cognitive function...
This thesis investigates the functionality of the units used in connectionist Artificial Intelligenc...
This thesis investigates the functionality of the units used in connectionist Artificial Intelligenc...
The culmination of this dissertation is to emulate nature\u27s design strategy in the evolution of n...
Abstract—An ambitious long-term goal for neuroevolution, which studies how artificial evolutionary p...
An ambitious long-term goal for neuroevolution, which studies how artificial evolutionary processes ...
An ambitious long-term goal for neuroevolution, which studies how artificial evolutionary processes ...
The topology of artificial neural networks has a significant effect on their performance. Characteri...
The topology of artificial neural networks has a significant effect on their performance. Characteri...
Abstract. NeuroEvolution is the application of Evolutionary Algo-rithms to the training of Artificia...
Neuroevolution, i.e. evolution of artificial neural networks, has recently emerged as a powerful tec...
The goal of this work is construction of an artificial life model and simulation of organisms in an ...
The goal of this work is construction of an artificial life model and simulation of organisms in an ...
Neuroevolution, i.e. evolution of artificial neural networks, has recently emerged as a powerful tec...