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EUSFLAT
2003
121views Fuzzy Logic» more  EUSFLAT 2003»
15 years 7 months ago
An adaptive learning algorithm for a neo fuzzy neuron
In the paper, a new optimal learning algorithm for a neo-fuzzy neuron (NFN) is proposed. The algorithm is characteristic in that it provides online tuning of not only the synaptic...
Yevgeniy Bodyanskiy, Illya Kokshenev, Vitaliy Kolo...
HICSS
2008
IEEE
142views Biometrics» more  HICSS 2008»
15 years 6 months ago
K-Trunk and Efficient Algorithms for Finding a K-Trunk on a Tree Network
Given an edge-weighted tree T, a k-trunk is a subtree Tk with k leaves in T which minimizes the sum of the distances of all vertices in T from Tk plus the weight of Tk. In this pa...
Yamin Li, Shietung Peng, Wanming Chu
TNN
1998
89views more  TNN 1998»
15 years 6 months ago
Fast training of recurrent networks based on the EM algorithm
— In this work, a probabilistic model is established for recurrent networks. The EM (expectation-maximization) algorithm is then applied to derive a new fast training algorithm f...
Sheng Ma, Chuanyi Ji
EVOW
2000
Springer
15 years 10 months ago
An Ant Algorithm with a New Pheromone Evaluation Rule for Total Tardiness Problems
Ant Colony Optimization is an evolutionary method that has recently been applied to scheduling problems. We propose an ACO algorithm for the Single Machine Total Weighted Tardiness...
Daniel Merkle, Martin Middendorf
FLAIRS
2000
15 years 7 months ago
Partitioning Sets with Genetic Algorithms
We first revisit a problem in the literature of genetic algorithms: arranging numbers into groups whose summed weights are as nearly equal as possible. We provide a new genetic al...
William A. Greene