scholarly journals A Neural Network Model of Self-Organizing Process in Group Formation

1991 ◽  
Vol 27 (Supplement) ◽  
pp. 114-115
Author(s):  
Shigekazu Ishihara ◽  
Keiko Hatamoto ◽  
Mitsuo Nagamachi ◽  
Yukihiro Matsubara
Keyword(s):  
Neural Network ◽  
Network Model ◽  
Neural Network Model ◽  
Group Formation ◽  
Self Organizing ◽  
Organizing Process

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

Classification and Prediction of Reagents' Roles by FRAU System with Self-Organizing Neural Network Model

2000 ◽  
Vol 73 (9) ◽  
pp. 1955-1965 ◽  
Author(s):  
Hiroko Satoh ◽  
Kimito Funatsu ◽  
Keiko Takano ◽  
Tadashi Nakata
Keyword(s):  
Neural Network ◽  
Network Model ◽  
Neural Network Model ◽  
Self Organizing

A Principal Components Analysis Self-Organizing Neural Network Model and Computational Experiment

2013 ◽  
Vol 756-759 ◽  
pp. 3330-3335
Author(s):  
Ji Fu Nong
Keyword(s):  
Neural Network ◽  
Principal Components Analysis ◽  
Network Model ◽  
Neural Network Model ◽  
Principal Components ◽  
Computational Experiment ◽  
Neural Model ◽  
Self Organizing Map ◽  
Components Analysis ◽  
Self Organizing

We propose a new self-organizing neural model that performs principal components analysis. It is also related to the adaptive subspace self-organizing map (ASSOM) network, but its training equations are simpler. Experimental results are reported, which show that the new model has better performance than the ASSOM network.

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