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Home > Artificial Neural Nets and Genetic Algorithms: Proceedings of the International Conference in Alès, France, 1995 > A Genetic Algorithm for Multicriteria Inventory Classification
Artificial Neural Nets and Genetic Algorithms: Proceedings of the International Conference in Alès, France, 1995 |
David W. Pearson; Nigel C. Steele; Rudolf F. Albrecht
Springer Vienna
Artificial Neural Nets and Genetic Algorithms: Proceedings of the International Conference in Alès, France, 1995
A Genetic Algorithm for Multicriteria Inventory Classification
Authors

H. Altay Güvenir

ARI Id

1664205270336_753213

Access

Not Available Free

Pages

6-9

DOI

10.1007/978-3-7091-7535-4_4

Chapter URL

https://rd.springer.com/chapter/10.1007/978-3-7091-7535-4_4

Table of Contents of Book
Showing 1 to 20 of 135 entries
Chapters/HeadingsAuthor(s)PagesInfo
Front Matter
I-XV
Workshop Summary
David W. Pearson; Nigel C. Steele; Rudolf F. Albrecht
1-2
Kohonen Neural Networks for Machine and Process Condition Monitoring
Tom Harris
3-4
Process Modelling and Control with Neural Networks: Present Status and Future Directions
Bernd Schürmann
5-5
A Genetic Algorithm for Multicriteria Inventory Classification
H. Altay Güvenir
6-9
Optimizing Classifiers for Handwritten Digits by Genetic Algorithms
J. Schäfer; H. Braun
10-13
DCS: A Promising Classifier System
Philippe Collard; Cathy Escazut
14-17
Application of neural networks for classification of temperature distribution patterns
Henrik Saxén; Abhay Bulsari; Leif Karilainen; Kalevi Raipala
18-21
Combination of Genetic Algorithms and CLP in the Vehicle-Fleet Scheduling Problem
E. Stefanitsis; N. Christodoulou; J. Psarras
22-25
Minimum Cost Topology Optimisation of the Cost 239 European Optical Network
M. C. Sinclair
26-29
Timetabling Using Genetic Algorithms
Wilhelm Erben
30-32
Resolution of Cartographic Layout Problem by Means of Improved Genetic Algorithms
Yassine Djouadi
33-36
Using Genetic Algorithms to Solve the Radio Link Frequency Assignment Problem
A. Kapsalis; V. J. Rayward-Smith; G. D. Smith
37-40
A Transformation for Implementing Efficient Dynamic Backpropagation Neural Networks
George L. Rudolph; Tony R. Martinez
41-44
AA1*: A Dynamic Incremental Network that Learns by Discrimination
Christophe Giraud-Carrier; Tony Martinez
45-48
Non-Supervised Sensory-Motor Agents Learning
Raul Sidnei Wazlawick; Antonio Carlos da Rocha Costa
49-52
Functional Equivalence and Genetic Learning of RBF Networks
Roman Neruda
53-56
Teaching Relaxation Labeling Processes Using Genetic Algorithms
Marcello Pelillo; Fabio Abbattista; Angelo Maffione
57-60
VLSI Optimal Neural Network Learning Algorithm
Valeriu Beiu; John G. Taylor
61-64
Using of Neural-Network and Expert System for Imissions Prediction
E. Theocharidou; Z. Burianec
65-68
Chapters/HeadingsAuthor(s)PagesInfo
Showing 1 to 20 of 135 entries
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