Classification of Objects Based on a Tree-Shaped Artificial Immune Network Model

2020 ◽  
pp. 160-172
Author(s):  
Mykola Korablyov ◽  
Oleksandr Fomichov ◽  
Natalia Axak
Keyword(s):  
Network Model ◽  
Immune Network ◽  
Artificial Immune ◽  
Artificial Immune Network ◽  
Immune Network Model

scholarly journals Blind Search for Optimal Wiener Equalizers Using an Artificial Immune Network Model

2003 ◽  
Vol 2003 (8) ◽  
Author(s):  
Romis Ribeiro de Faissol Attux ◽  
Murilo Bellezoni Loiola ◽  
Ricardo Suyama ◽  
Leandro Nunes de Castro ◽  
Fernando José Von Zuben ◽  
...  
Keyword(s):  
Network Model ◽  
Immune Network ◽  
Artificial Immune ◽  
Artificial Immune Network ◽  
Immune Network Model ◽  
Blind Search

IMMUNE AND NEURAL NETWORK MODELS: THEORETICAL AND EMPIRICAL COMPARISONS

2001 ◽  
Vol 01 (03) ◽  
pp. 239-257 ◽  
Author(s):  
LEANDRO N. DE CASTRO ◽  
FERNANDO J. VON ZUBEN
Keyword(s):  
Network Models ◽  
Immune Network ◽  
Artificial Immune ◽  
Neural Network Models ◽  
Real World Problem ◽  
Artificial Immune Network ◽  
Immune Network Model ◽  
And Cluster Analysis ◽  
Pictorial Representations ◽  
Learning Data

This paper brings a detailed mathematical description of an artificial immune network model, named aiNet. The model is implemented in association with graph concepts and hierarchical clustering techniques, and is proposed to perform machine learning, data compression and cluster analysis. Pictorial representations for the aiNet basic units and typical architectures are introduced. The proposed immune network was primarily compared on a theoretical basis with well-known artificial neural networks. Then, the aiNet was applied to a non-linearly separable benchmark and a real-world problem, and the results were compared with that of the self-organizing feature map and with others already presented in the literature.

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