An expert system for recommending suitable ornamental fish addition to an aquarium based on aquarium condition

by   Mohammad Mohammadi, et al.

Expert systems prove to be suitable replacement for human experts when human experts are unavailable for different reasons. Various expert system has been developed for wide range of application. Although some expert systems in the field of fishery and aquaculture has been developed but a system that aids user in process of selecting a new addition to their aquarium tank never been designed. This paper proposed an expert system that suggests new addition to an aquarium tank based on current environmental condition of aquarium and currently existing fishes in aquarium. The system suggest the best fit for aquarium condition and most compatible to other fishes in aquarium.



There are no comments yet.


page 2

page 4

page 5


Development of knowledge Base Expert System for Natural treatment of Diabetes disease

The development of expert system for treatment of Diabetes disease by us...

Understanding Human Judgments of Causality

Discriminating between causality and correlation is a major problem in m...

A Review: Expert System for Diagnosis of Myocardial Infarction

A computer Program Capable of performing at a human-expert level in a na...

A network analysis of decision strategies of human experts in steel manufacturing

Steel production scheduling is typically accomplished by human expert pl...

Combining expert knowledge and neural networks to model environmental stresses in agriculture

In this work we combine representation learning capabilities of neural n...

A Fuzzy expert system for goalkeeper quality recognition

Goalkeeper (GK) is an expert in soccer and goalkeeping is a complete pro...

Probabilistic elicitation of expert knowledge through assessment of computer simulations

We present a new method for probabilistic elicitation of expert knowledg...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.