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COMPLEX
2009
Springer
15 years 11 months ago
Complex Multi-modal Multi-level Influence Networks - Affordable Housing Case Study -
Most influence networks are depicted as nodes and links operating in the manner of a feed-forward neural network where both nodes and links appear to be homogenous in their nature....
Patrick Beautement, Christine Brönner
IJCNN
2000
IEEE
15 years 11 months ago
Robust Adaptive Critic Based Neurocontrollers for Systems with Input Uncertainties
A two-neural network approach to solving nonlinear optimal control problems is described in this study. This approach called the adaptive critic method consists of one neural netw...
Zhongwu Huang, S. N. Balakrishnan
ICA
2010
Springer
15 years 5 months ago
Time Series Causality Inference Using Echo State Networks
One potential strength of recurrent neural networks (RNNs) is their – theoretical – ability to find a connection between cause and consequence in time series in an constraint-...
Norbert Michael Mayer, Oliver Obst, Chang Yu-Chen
OL
2011
277views Neural Networks» more  OL 2011»
15 years 1 months ago
An exact algorithm for minimum CDS with shortest path constraint in wireless networks
In this paper, we study a minimum Connected Dominating Set problem (CDS) in wireless networks, which selects a minimum CDS with property that all intermediate nodes inside every pa...
Ling Ding, Xiaofeng Gao, Weili Wu, Wonjun Lee, Xu ...
EUROCOLT
1997
Springer
15 years 10 months ago
Vapnik-Chervonenkis Dimension of Recurrent Neural Networks
Most of the work on the Vapnik-Chervonenkis dimension of neural networks has been focused on feedforward networks. However, recurrent networks are also widely used in learning app...
Pascal Koiran, Eduardo D. Sontag