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Home > Artificial Neural Nets and Genetic Algorithms: Proceedings of the International Conference in Portorož, Slovenia, 1999 > Improving Generalisation Using Modular Neural Networks
Artificial Neural Nets and Genetic Algorithms: Proceedings of the International Conference in Portorož, Slovenia, 1999 |
Andrej Dobnikar; Nigel C. Steele; David W. Pearson; Rudolf F. Albrecht
Springer Vienna
Artificial Neural Nets and Genetic Algorithms: Proceedings of the International Conference in Portorož, Slovenia, 1999
Improving Generalisation Using Modular Neural Networks
Authors

David McLean; Zuhair Bandar; Jim O’Shea

ARI Id

1664735501175_2998363

Access

Not Available Free

Pages

35-39

DOI

10.1007/978-3-7091-6384-9_7

Chapter URL

https://rd.springer.com/chapter/10.1007/978-3-7091-6384-9_7

Table of Contents of Book
Showing 1 to 20 of 60 entries
Chapters/HeadingsAuthor(s)PagesInfo
Front Matter
I-X
Topological Approach to Fuzzy Sets and Fuzzy Logic
R. F. Albrecht
1-7
Linking Human Neural Processes Directly with Technology — The Future?
K. Warwick
8-13
Neural Dynamic Model for Optimization of Complex Systems
Hojjat Adeli
14-15
Comparative Testing of Hyper-Planar Classifiers on Continuous Data Domains
David McLean; Zuhair Bandar
16-21
A Quantum Associative Memory Based on Grover’s Algorithm
Dan Ventura; Tony Martinez
22-27
Newton Filters: a New Class of Neuron-Like Discrete Filters and an Application to Image Processing
Alexis Quesada-Arencibia; Miguel Alemán-Flores; Roberto Moreno-Diaz Jr.
28-34
Improving Generalisation Using Modular Neural Networks
David McLean; Zuhair Bandar; Jim O’Shea
35-39
The Role and Modelling of Presynaptic Inhibition in the Visual Pathway: Applications in Image Processing
Roberto Moreno-Díaz Jr.; Alexis Quesada-Arencibia
40-45
A Curvature Primal Sketch Neural Network Recognition System
Michael Fairbank; Andrew Tuson
46-51
Using GMDH Neural Net and Neural Net With Switching Units to Find Rare Particles
František Hakl; Marcel Jiřina
52-58
A Neural Network Based Nonlinear Temporal-Spatial Noise Rejection System
Fa-Long Luo; Rolf Unbehauen; Tertulien Ndjountche
59-66
Improving the Performance of the Hopfield Network By Using A Relaxation Rate
Xinchuan Zeng; Tony R. Martinez
67-72
A New Activation Function in the Hopfield Network for Solving Optimization Problems
Xinchuan Zeng; Tony R. Martinez
73-77
On-line Learning of Object Representations
Horst Bischof; Aleš Leonardis
78-85
A neural network model for blast furnace wall temperature pattern classification
Henrik Saxén; Leif Lassus
86-88
Monitoring an Industrial Plastic Injection Moulding Machine Using Neural Networks
N. Costa; A. Cunha; B. Ribeiro
89-94
Rates of Learning in Gradient and Genetic Training of Recurrent Neural Networks
Ricardo Riaza; Pedro J. Zufiria
95-99
Influence of the Learning Gain on the Dynamics of Oja’s Neural Network
Pedro J. Zufiria
100-106
ATR’s Artificial Brain Project: CAM-Brain Machine (CBM) and Robot Kitten (Robokoneko) Issues
Michael Korkin; Hugo de Garis; N. Eiji Nawa; William Dee Rieken
107-110
Chapters/HeadingsAuthor(s)PagesInfo
Showing 1 to 20 of 60 entries
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