This “on-line” training arises in the context of optimizing a simulation. This paper presents extensive computational experiments to compare 12 “on-line” ...
Artificial neural networks (ANN) are inspired by the structure of biological neural networks and their ability to integrate knowledge and learning.
This “on-line” training arises in the context of optimizing a simulation. This paper presents extensive computational experiments to compare 12 “on-line” ...
Oct 22, 2024 · This “on-line” training arises in the context of optimizing a simulation. This paper presents extensive computational experiments to compare 12 ...
This “on-line ” training arises in the context of optimizing a simulation. This paper presents extensive computational experiments to compare 12 “on-line ” ...
On-Line Training in Multilayer Neural Networks ... training methods are compared over a limited set of instances. In this work we present extensive computational ...
Multilayer neural networks: An experimental evaluation of on-line training methods. Computers and Operations Research, 31, 1491-1513. doi:10.1016/S0305-0548 ...
This paper presents extensive computational experiments to compare 12 “on-line” training methods over a collection of 45 functions from the literature within a ...
MultiLayer Neural Networks: An Experimental Evaluation of On-Line Training Methods Rafael Martí and Abdellah El-Fallahi, Computers and Operations Research ...
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Feb 26, 2018 · Does anyone know of much work in this area or any general approaches one would use in a realistic setting?
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