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IJCNN
2006
IEEE
15 years 3 months ago
Improving the Convergence of Backpropagation by Opposite Transfer Functions
—The backpropagation algorithm is a very popular approach to learning in feed-forward multi-layer perceptron networks. However, in many scenarios the time required to adequately ...
Mario Ventresca, Hamid R. Tizhoosh
ESA
2004
Springer
130views Algorithms» more  ESA 2004»
15 years 3 months ago
Convergence Properties of the Gravitational Algorithm in Asynchronous Robot Systems
This paper considers the convergence problem in autonomous mobile robot systems. A natural algorithm for the problem requires the robots to move towards their center of gravity. Th...
Reuven Cohen, David Peleg
NIPS
1998
14 years 11 months ago
Convergence of the Wake-Sleep Algorithm
The W-S (Wake-Sleep) algorithm is a simple learning rule for the models with hidden variables. It is shown that this algorithm can be applied to a factor analysis model which is a...
Shiro Ikeda, Shun-ichi Amari, Hiroyuki Nakahara
CPC
2002
205views more  CPC 2002»
14 years 9 months ago
Convergence Of The Iterated Prisoner's Dilemma Game
Co-learning is a model involving agents from a large population, who interact by playing a fixed game and update their behaviour based on previous experience and the outcome of th...
Martin E. Dyer, Leslie Ann Goldberg, Catherine S. ...
EJASP
2010
142views more  EJASP 2010»
14 years 4 months ago
Linear High-Order Distributed Average Consensus Algorithm in Wireless Sensor Networks
This paper presents a linear high-order distributed average consensus (DAC) algorithm for wireless sensor networks. The average consensus property and convergence rate of the high...
Gang Xiong, Shalinee Kishore