MALARIA SEVERITY CLASSIFICATION THROUGH JORDAN-ELMAN NEURAL NETWORK BASED ON FEATURES EXTRACTED FROM THICK BLOOD SMEAR.
- Published in:
- Neural Network World, 2015, v. 25, n. 5, p. 565, doi. 10.14311/NNW.2015.25.028
- By:
- Publication type:
- Article
Works matching IS 12100552 AND DT 2015 AND VI 25 AND IP 5
Results: 5
1
2
INTELLIGENT NETWORK-MISUSE-DETECTION-SYSTEM USING NEUROTREE CLASSIFIER.
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- Neural Network World, 2015, v. 25, n. 5, p. 541, doi. 10.14311/NNW.2015.25.027
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- Publication type:
- Article
3
A HIGH-ACCURACY SELF-ADAPTIVE RESOURCE DEMANDS PREDICTING METHOD IN IAAS CLOUD ENVIRONMENT.
- Published in:
- Neural Network World, 2015, v. 25, n. 5, p. 519, doi. 10.14311/NNW.2015.25.026
- By:
- Publication type:
- Article
4
ESTIMATION OF NUTRIENT CONCENTRATIONS IN RUNOFF FROM BEEF CATTLE FEEDLOT USING ADAPTIVE NEURO-FUZZY INFERENCE SYSTEMS.
- Published in:
- Neural Network World, 2015, v. 25, n. 5, p. 501, doi. 10.14311/NNW.2015.25.025
- By:
- Publication type:
- Article
5
RANDOM NEURAL NETWORK MODEL FOR SUPERVISED LEARNING PROBLEMS.
- Published in:
- Neural Network World, 2015, v. 25, n. 5, p. 457, doi. 10.14311/NNW.2015.25.024
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- Publication type:
- Article