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1 fish disease doaa ali mohammed
1.
FISH DISEASE DIAGNOSES By Doaa
Ali Mohammed
2.
Scientific Research Group
in Egypt www.egyptscience.net
3.
Agenda Introduction Example of Fish
Disease Existing computer based diagnoses’ Systems Conclusions and Current State
4.
Introduction Ecological Footprint
5.
Introduction
6.
Fish Health Monitoring
7.
The different cause
of fish disease
8.
Examples of fish
disease Ich / Ick
9.
Examples of fish
disease, cont. Fin / Tail Rot
10.
Examples of fish
disease, cont. Mouth Fungus
11.
Examples of fish
disease, cont. Hole-In-The-Head (HITH)
12.
Existing computer based
diagnoses’ Systems Expert System for Fish Disease Diagnosis Based on Fuzzy Neural Network
13.
Fuzzy Neural Network
14.
Existing computer based
diagnoses’ Systems, cont. Rough Set and FCM Clustering Algorithm
15.
Existing computer based
diagnoses’ Systems, cont.
16.
Existing computer based
diagnoses’ Systems, cont. Rough Set and Classifier Fusion
17.
Existing computer based
diagnoses’ Systems, cont.
18.
Existing computer based
diagnoses’ Systems, cont. Artificial bee colony algorithm and pattern search hybridized for global optimization ABC
19.
Existing computer based
diagnoses’ Systems, cont.
20.
Existing computer based
diagnoses’ Systems, cont. Automatic fuzzy partitioning approach using Variable string length Artificial Bee Colony (VABC) algorithm
21.
Existing computer based
diagnoses’ Systems, cont.
22.
Conclusions Technique Accuracy Time Complexity ES based on Fuzzy
neural network High Fast High RS based on FCM High High High RST based on classifier High Slow High HABC Higher Faster less VABC Higher Faster Less
23.
Current Status We are
in the process of collecting fish pictures and compare between used techniques. The benefits of our approach can detect the optimal solution, high accuracy, fast, and less complexity.
24.
For further questions: Doaa
Ali Mohammed doaaali.ammar@yahoo.com
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