System Factorial Technology Applied to Artificial Neural Network Information Processing

2014 ◽  
pp. 258-261
Author(s):  
Christophe Tremblay ◽  
Bradley Harding ◽  
Sylvain Chartier ◽  
Denis Cousineau
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Information Processing ◽  
Network Information ◽  
Artificial Neural

Optimization of ANN Based on EA

2011 ◽  
Vol 271-273 ◽  
pp. 629-632
Author(s):  
Hong Guo Zhu ◽  
Hai Xin ◽  
Chang Wen Zheng
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Information Processing ◽  
Evolutionary Algorithm ◽  
Future Directions ◽  
Existing Problems ◽  
Artificial Neural ◽  
Artificial Neural Network Ann

Artificial neural network (ANN) and evolutionary algorithm (EA) are both biology-based models of information processing. The basic theories of ANN and EA are described. Then the mechanisms of using EA for ANN’s optimization are explained and the research states are summarized. The existing problems and future directions are demonstrated finally.

scholarly journals Research on the emotional cognitive evaluation model based on artificial neural network

2020 ◽  
Vol 145 ◽  
pp. 01040
Author(s):  
Qiying Gan
Keyword(s):  
Neural Network ◽  
Artificial Intelligence ◽  
Artificial Neural Network ◽  
Information Processing ◽  
Evaluation Model ◽  
Research Field ◽  
Intelligent Information Processing ◽  
The Neural Network ◽  
Artificial Neural ◽  
Intelligent Information

the neural network, fuzzy set theory and evolutionary algorithm in artificial intelligence are all intelligent information processing theories that follow the biological processing mode. These theories are realized by rational logical thinking mode without considering the role of human perceptual thinking in the information processing process, such as emotion and cognition. Among them, the neural network mainly imitates the function of the mental system of human, adopts the method from the bottom to the top, and processes the difficult language pattern information through a large number of complicated connections of neurons. Artificial neural network (Ann) is a cross research field of artificial intelligence and life science. This theory mainly imitates the information processing mechanism of organisms in nature and is mainly used in intelligent information processing systems that can adapt to long-term changes in the environment. Therefore, neural network has important application significance in the research of intelligence, robot and artificial emotion.

Development of a Neuronetwork Component for Technical Systems of Mechanical Engineering

2015 ◽  
Vol 756 ◽  
pp. 689-694
Author(s):  
S.N. Danilin ◽  
M.V. Makarov ◽  
S.A. Shchanikov
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Information Processing ◽  
Mechanical Engineering ◽  
Internal Noise ◽  
Technical System ◽  
Technical Systems ◽  
Artificial Neural

This article shows the solution to the problem of designing а neuronetwork component of industrial technical system. This solution lets to provide nominal accuracy of information processing, when technical system is working under conditions of destabilizing factors.Base of designing а neuronetwork component is algorithms of elimination of influence of external and internal noise of artificial neural network developed by authors.

Autofluorescence spectroscopy of oral leukoplakia using an artificial neural network

2000 ◽  
Vol 25 (4) ◽  
pp. 325-325
Author(s):  
J.L.N. Roodenburg ◽  
H.J. Van Staveren ◽  
N.L.P. Van Veen ◽  
O.C. Speelman ◽  
J.M. Nauta ◽  
...  
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Oral Leukoplakia ◽  
Autofluorescence Spectroscopy ◽  
Artificial Neural

1902: Is Steinstrasse After ESWL of Renal Stones Predictable? Artificial Neural Network Analysis

2004 ◽  
Vol 171 (4S) ◽  
pp. 502-503
Author(s):  
Mohamed A. Gomha ◽  
Khaled Z. Sheir ◽  
Saeed Showky ◽  
Khaled Madbouly ◽  
Emad Elsobky ◽  
...  
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Network Analysis ◽  
Renal Stones ◽  
Neural Network Analysis ◽  
Artificial Neural Network Analysis ◽  
Artificial Neural

Forecasting travel demand: a comparison of logit and artificial neural network methods

1998 ◽  
Vol 49 (7) ◽  
pp. 717-722 ◽  
Author(s):  
M C M de Carvalho ◽  
M S Dougherty ◽  
A S Fowkes ◽  
M R Wardman
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Travel Demand ◽  
Network Methods ◽  
Artificial Neural

An Artificial Neural Network to Evaluate Cartilage Collagen and Proteoglycan Fractions Based on Multiparametric Quantitative MRI Techniques

2019 ◽  
Author(s):  
Johannes Thüring ◽  
Kevin Linka ◽  
Christiane Kuhl ◽  
Sven Nebelung ◽  
Daniel Truhn
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Quantitative Mri ◽  
Artificial Neural
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