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» Evolving Artificial Neural Networks that Develop in Time
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106
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ISNN
2005
Springer
15 years 6 months ago
Enhanced Fuzzy Single Layer Perceptron
Abstract. In this paper, a method of improving the learning time and convergence rate is proposed to exploit the advantages of artificial neural networks and fuzzy theory to neuron...
Kwang-Baek Kim, Sungshin Kim, Young Hoon Joo, Am S...
96
Voted
EVOW
2009
Springer
15 years 7 months ago
Hearing Thinking
This paper describes early experiments, which attempt to reconfigure the sound of a breath using a network of artificial spiking cortical neurons. The connectivity of the network e...
Jane Grant, John Matthias, Tim Hodgson, Eduardo Re...
102
Voted
GECCO
2006
Springer
147views Optimization» more  GECCO 2006»
15 years 4 months ago
Evolving a real-world vehicle warning system
Many serious automobile accidents could be avoided if drivers were warned of impending crashes before they occur. Creating such warning systems by hand, however, is a difficult an...
Nate Kohl, Kenneth O. Stanley, Risto Miikkulainen,...
102
Voted
WSOM
2009
Springer
15 years 7 months ago
Incremental Unsupervised Time Series Analysis Using Merge Growing Neural Gas
We propose Merge Growing Neural Gas (MGNG) as a novel unsupervised growing neural network for time series analysis. MGNG combines the state-of-the-art recursive temporal context of...
Andreas Andreakis, Nicolai von Hoyningen-Huene, Mi...
JACIII
2010
135views more  JACIII 2010»
14 years 11 months ago
Neural Network Ensemble-Based Solar Power Generation Short-Term Forecasting
—This paper presents the applicability of artificial neural networks for 24 hour ahead solar power generation forecasting of a 20 kW photovoltaic system, the developed forecastin...
Aymen Chaouachi, Rashad M. Kamel, Ken Nagasaka