Artificial intelligence and the supervision of bioprocesses (real-time knowledge-based systems and neural networks)

1993 ◽  
pp. 1-27 ◽  
Author(s):  
M. Aynsley ◽  
A. Hofland ◽  
A. J. Morris ◽  
G. A. Montague ◽  
C. Di Massimo
Keyword(s):  
Artificial Intelligence ◽  
Neural Networks ◽  
Real Time ◽  
Knowledge Based Systems ◽  
Knowledge Based

Towards intelligent systems for boiler design

1997 ◽  
Vol 211 (5) ◽  
pp. 399-409 ◽  
Author(s):  
S Lu
Keyword(s):  
Artificial Intelligence ◽  
Neural Networks ◽  
Fuzzy Logic ◽  
Intelligent Systems ◽  
State Of The Art ◽  
Knowledge Based Systems ◽  
Design Practice ◽  
Knowledge Based ◽  
Computer Aided ◽  
Boiler Design

This paper describes the application, through examples and comparisons, of artificial intelligence including neural networks, fuzzy logic, genetic algorithms in three levels of computer aided boiler design: design by mathematical modelling, design by optimization and design by knowledge-based systems. It reviews the state-of-the-art situation and trends for future development in boiler design practice.

scholarly journals Review of Artificial Intelligence

2020 ◽  
pp. 143-171
Author(s):  
K. P. V. Sai Aakarsh ◽  
Adwin Manhar
Keyword(s):  
Artificial Intelligence ◽  
Computational Intelligence ◽  
Medical Diagnosis ◽  
Computer Application ◽  
Knowledge Based Systems ◽  
Human Race ◽  
Knowledge Based ◽  
Ordinary Person ◽  
Digital Computers

Over many centuries, tools of increasing sophistication have been developed to serve the human race Digital computers are, in many respects, just another tool. They can perform the same sort of numerical and symbolic manipulations that an ordinary person can, but faster and more reliably. This paper represents review of artificial intelligence algorithms applying in computer application and software. Include knowledge-based systems; computational intelligence, which leads to Artificial intelligence, is the science of mimicking human mental faculties in a computer. That assists Physician to make dissection in medical diagnosis.

Knowledge-based systems for real-time process control: The MIP project

1992 ◽  
Vol 17 ◽  
pp. 391-396
Author(s):  
X. Alamán ◽  
S. Romero ◽  
C. Aguirre ◽  
P. Serrahima ◽  
R. Muñoz ◽  
...  
Keyword(s):  
Process Control ◽  
Real Time ◽  
Knowledge Based Systems ◽  
Time Process ◽  
Knowledge Based

Real-time knowledge-based systems in fermentation supervisory control

2011 ◽  
pp. 203-221 ◽  
Author(s):  
M. Aynsley ◽  
D. Peel ◽  
A. Hofland ◽  
G. Montague ◽  
A. Morris
Keyword(s):  
Real Time ◽  
Supervisory Control ◽  
Knowledge Based Systems ◽  
Knowledge Based

Real-Time Recoloring Ishihara Plates Using Artificial Neural Networks for Helping Colorblind People

2020 ◽  
pp. 138-156
Author(s):  
Martín Montes Rivera ◽  
Alejandro Padilla ◽  
Juana Canul-Reich ◽  
Julio Ponce
Keyword(s):  
Artificial Intelligence ◽  
Neural Networks ◽  
Artificial Neural Networks ◽  
Real Time ◽  
Input Data ◽  
Traffic Signals ◽  
Educational Materials ◽  
Ishihara Test ◽  
Artificial Neural ◽  
Intelligence Technique

Vision sense is achieved using cells called rods (luminosity) and cones (color). Color perception is required when interacting with educational materials, industrial environments, traffic signals, among others, but colorblind people have difficulties perceiving colors. There are different tests for colorblindness like Ishihara plates test, which have numbers with colors that are confused with colorblindness. Advances in computer sciences produced digital assistants for colorblindness, but there are possibilities to improve them using artificial intelligence because its techniques have exhibited great results when classifying parameters. This chapter proposes the use of artificial neural networks, an artificial intelligence technique, for learning the colors that colorblind people cannot distinguish well by using as input data the Ishihara plates and recoloring the image by increasing its brightness. Results are tested with a real colorblind people who successfully pass the Ishihara test.

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