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» On Generalization by Neural Networks
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HIS
2008
15 years 8 months ago
Neural Plasticity and Minimal Topologies for Reward-Based Learning
Artificial Neural Networks for online learning problems are often implemented with synaptic plasticity to achieve adaptive behaviour. A common problem is that the overall learning...
Andrea Soltoggio
EPIA
2003
Springer
15 years 11 months ago
Evolutionary Neuroestimation of Fitness Functions
Abstract. One of the most influential factors in the quality of the solutions found by an evolutionary algorithm is the appropriateness of the fitness function. Specifically in ...
Jesús S. Aguilar-Ruiz, Daniel Mateos, Domin...
ISCAS
2007
IEEE
138views Hardware» more  ISCAS 2007»
16 years 25 days ago
Adaptive Pinning Synchronization of A General Complex Dynamical Network
— This paper further investigates and answers two fundamental questions in the complex dynamical networks: i) how many nodes should a general complex dynamical network with fixe...
Jin Zhou, Junan Lu, Jinhu Lu
IFSA
2007
Springer
102views Fuzzy Logic» more  IFSA 2007»
16 years 21 days ago
Strict Generalization in Multilayered Perceptron Networks
Typically the response of a multilayered perceptron (MLP) network on points which are far away from the boundary of its training data is not very reliable. When test data points ar...
Debrup Chakraborty, Nikhil R. Pal
AAAI
1994
15 years 8 months ago
Evolving Neural Networks to Focus Minimax Search
Neural networks were evolved through genetic algorithms to focus minimax search in the game of Othello. At each level of the search tree, the focus networks decide which moves are...
David E. Moriarty, Risto Miikkulainen