A multi-start algorithm to design a multi-class classifier for a multi-criteria ABC inventory classification problem
In this paper we deal with the problem of designing a classifier able to learn the
classification of existing units in inventory and then use it to classify new units according to …
classification of existing units in inventory and then use it to classify new units according to …
A multi-start algorithm to design a multi-class classifier for a multi-criteria ABC inventory classification problem
D Lpez-Soto, F Angel-Bello, S Yacout… - Expert Systems with …, 2017 - dl.acm.org
The ABC classification problem is solved using a discrete artificial neural network. A
randomized greedy multi-start algorithm is designed to train the neural network. The …
randomized greedy multi-start algorithm is designed to train the neural network. The …
[引用][C] A multi-start algorithm to design a multi-class classifier for a multi-criteria ABC inventory classification problem
D Lopez-Soto, F Angel-Bello… - Expert Systems With …, 2017 - publications.polymtl.ca
A multi-start algorithm to design a multi-class classifier for a multi-criteria ABC inventory
classification problem - PolyPublie < Retour au portail Polytechnique Montréal English Accueil …
classification problem - PolyPublie < Retour au portail Polytechnique Montréal English Accueil …
A multi-start algorithm to design a multi-class classifier for a multi-criteria ABC inventory classification problem
D López-Soto, F Angel-Bello, S Yacout… - Expert Systems with …, 2017 - infona.pl
In this paper we deal with the problem of designing a classifier able to learn the
classification of existing units in inventory and then use it to classify new units according to …
classification of existing units in inventory and then use it to classify new units according to …