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» Minimization of Error Functionals over Perceptron Networks
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ICANN
2005
Springer
15 years 3 months ago
Interpolation Mechanism of Functional Networks
In this paper, the interpolation mechanism of functional networks is discussed. A kind of fourlayer (with 1 input and 1 output unit) and a five-layer (with double input and single...
Yong-Quan Zhou, Licheng Jiao
COLT
2000
Springer
15 years 1 months ago
Model Selection and Error Estimation
We study model selection strategies based on penalized empirical loss minimization. We point out a tight relationship between error estimation and data-based complexity penalizatio...
Peter L. Bartlett, Stéphane Boucheron, G&aa...
ICML
2007
IEEE
15 years 10 months ago
Tracking value function dynamics to improve reinforcement learning with piecewise linear function approximation
Reinforcement learning algorithms can become unstable when combined with linear function approximation. Algorithms that minimize the mean-square Bellman error are guaranteed to co...
Chee Wee Phua, Robert Fitch
JACIII
2010
135views more  JACIII 2010»
14 years 8 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
CDC
2009
IEEE
144views Control Systems» more  CDC 2009»
14 years 10 months ago
A minimized zero mean entropy approach to networked control systems
A novel control method is proposed for networked control systems with nonlinear process, probably non-Gaussian process noise and time delays. The performance index of closed loop c...
Jianhua Zhang, Hong Wang 0001