234 search results - page 14 / 47 » Neural Logic Network Learning using Genetic Programming |
99
Voted
GECCO
2008
Springer
15 years 22 days ago
2008
Springer
We are interested in engineering smart machines that enable backtracking of emergent behaviors. Our SSNNS simulator consists of hand-picked tools to explore spiking neural network...
109
Voted
GECCO
2005
Springer
15 years 5 months ago
2005
Springer
In neuroevolution, a genetic algorithm is used to evolve a neural network to perform a particular task. The standard approach is to evolve a population over a number of generation...
93
Voted
FLAIRS
1998
15 years 1 months ago
1998
Predictingthe level of aflatoxincontaminationin cropsof peanuts is a task of significant importance. Backpmpagationneural networkshavebeenused in the past to modelthis problem,but...
101
click to vote
FSKD
2005
Springer
15 years 5 months ago
2005
Springer
Abstract. In the artificial neural networks (ANNs), feature selection is a wellresearched problem, which can improve the network performance and speed up the training of the networ...
67
Voted
ICANN
2009
Springer
15 years 6 months ago
2009
Springer
Backpropagation of errors is not only hard to justify from biological perspective but also it fails to solve problems requiring complex logic. A simpler algorithm based on generati...