Neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position

1980 ◽  
Vol 36 (4) ◽  
pp. 193-202 ◽  
Author(s):  
Kunihiko Fukushima
Keyword(s):  
Neural Network ◽  
Pattern Recognition ◽  
Network Model ◽  
Neural Network Model ◽  
Self Organizing

An improved self-organizing incremental neural network model for short-term time-series load prediction

2021 ◽  
Vol 292 ◽  
pp. 116912
Author(s):  
Rong Wang Ng ◽  
Kasim Mumtaj Begam ◽  
Rajprasad Kumar Rajkumar ◽  
Yee Wan Wong ◽  
Lee Wai Chong
Keyword(s):  
Neural Network ◽  
Time Series ◽  
Network Model ◽  
Neural Network Model ◽  
Load Prediction ◽  
Short Term ◽  
Self Organizing

SELF-ORGANIZING NEURAL NETWORK MODEL OF THE SENSORY-MOTOR MECHANISM

2000 ◽  
Vol 14 (17) ◽  
pp. 1815-1824
Author(s):  
M. ANDRECUT ◽  
M. K. ALI
Keyword(s):  
Neural Network ◽  
Network Model ◽  
Neural Network Model ◽  
Autonomous Agents ◽  
Lateral Interactions ◽  
Sensory Motor ◽  
Self Organizing

We describe a new biologically motivated model of the sensory-motor mechanism. The model is based on a self-organizing neural network with modifiable lateral interactions and a "master-slave" connection between the sensorial and motor modules. The results show that the described model is a useful feature that can be exploited by autonomous agents. An example of implementation in the case of a "moving virtual creature" is also presented.

Clustering Urban Multifunctional Landscapes Using the Self-Organizing Feature Map Neural Network Model

2014 ◽  
Vol 140 (2) ◽  
pp. 05014001 ◽  
Author(s):  
Yang Gao ◽  
Zhe Feng ◽  
Yang Wang ◽  
Jin-Long Liu ◽  
Shuang-Cheng Li ◽  
...  
Keyword(s):  
Neural Network ◽  
Network Model ◽  
Neural Network Model ◽  
The Self ◽  
Feature Map ◽  
Multifunctional Landscapes ◽  
Self Organizing
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