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ICMLA
2010
14 years 7 months ago
Ensembles of Neural Networks for Robust Reinforcement Learning
Reinforcement learning algorithms that employ neural networks as function approximators have proven to be powerful tools for solving optimal control problems. However, their traini...
Alexander Hans, Steffen Udluft
IWANN
2009
Springer
15 years 4 months ago
Development of Neural Network Structure with Biological Mechanisms
We present an evolving neural network model in which synapses appear and disappear stochastically according to bio-inspired probabilities. These are in general nonlinear functions ...
Samuel Johnson, Joaquín Marro, Jorge F. Mej...
ESANN
2001
14 years 11 months ago
Transfer functions: hidden possibilities for better neural networks
Abstract. Sigmoidal or radial transfer functions do not guarantee the best generalization nor fast learning of neural networks. Families of parameterized transfer functions provide...
Wlodzislaw Duch, Norbert Jankowski
ISPAN
2005
IEEE
15 years 3 months ago
Safety and QoS-Aware Management of Heterogeneous Sensor Networks
— Recently, we have proposed ANSWER: AutoNomouS Wireless sEnsor netwoRk as a service platform whose mission is to provide dependable information services to in-situ mobile users ...
Mohamed F. Younis, Waleed A. Youssef, Mohamed Elto...
ISCAS
2006
IEEE
143views Hardware» more  ISCAS 2006»
15 years 3 months ago
Dynamic computation in a recurrent network of heterogeneous silicon neurons
Abstract—We describe a neuromorphic chip with a twolayer excitatory-inhibitory recurrent network of spiking neurons that exhibits localized clusters of neural activity. Unlike ot...
Paul Merolla, Kwabena Boahen