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» Neural networks: Algorithms and applications
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101
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WCE
2007
15 years 1 months ago
Neural Networks for Optimal Control of Aircraft Landing Systems
Abstract—In this work we present a variational formulation for a multilayer perceptron neural network. With this formulation any learning task for the neural network is defined ...
Kevin Lau, Roberto Lopez, Eugenio Oñate
91
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ESANN
2003
15 years 2 months ago
Autonomous learning algorithm for fully connected recurrent networks
In this paper fully connected RTRL neural networks are studied. In order to learn dynamical behaviours of linear-processes or to predict time series, an autonomous learning algori...
Edouard Leclercq, Fabrice Druaux, Dimitri Lefebvre
107
Voted
IJCNN
2006
IEEE
15 years 6 months ago
Complex Phase Synchronization in an Array of Oscillators Coupled by Time-Varying Resistor
— In recent years, many people have been trying to develop some applications to information processing by exploiting oscillatory phenomena in neural networks. Bifurcation and sta...
Yoko Uwate, Yoshifumi Nishio
104
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CEC
2008
IEEE
15 years 7 months ago
Learning what to ignore: Memetic climbing in topology and weight space
— We present the memetic climber, a simple search algorithm that learns topology and weights of neural networks on different time scales. When applied to the problem of learning ...
Julian Togelius, Faustino J. Gomez, Jürgen Sc...
94
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CORR
2008
Springer
128views Education» more  CORR 2008»
15 years 11 days ago
Electricity Demand and Energy Consumption Management System
This project describes the electricity demand and energy consumption management system and its application to Southern Peru smelter. It is composted of an hourly demand-forecastin...
Juan Ojeda Sarmiento