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Implementation of intelligent biomedical diagnostics based on the fuzzy inference system. In this article the fuzzy logic based heart disease diagnosis system is analyzed on base sixth
risk that affect
Fuzzy logic inference ruleset augmentation with sample data in medical decision-making systemsFuzzy inference systems are widely used in order to
implement complex rule-based decision
Fuzzy logic application approach in control of automatic spacecraftvantages of neural networks and fuzzy inference systems. On the one hand, they allow developing and presenting system
Method of reducing the computational complexity of fuzzy inference algorithms for implementation on a microcontroller with limited computational resourcesIn our work we suggest the most effective ways to reduce the complexity of computing fuzzy inference
Modeling of internal combustion engines by adaptive network-based fuzzy inference system of an adaptive network-based fuzzy inference system (ANFIS) for the automatic formation of fuzzy rules governing
Control of Linear Servo Pneumatic Drive Based on Fuzzy Controller and Knowledge Base maintaining high performance. Fuzzy inference techniques are widely used in the development of fuzzy
Method for neuro-fuzzy inference system learning for ICE tests of an intelligent model for tuning an automated test system for diesel engines is considered. A neuro-fuzzy network
Application of fuzzy logic technique in medicine: the fuzzy logic for making decisions in medical diagnostics based on a fuzzy expert system, a fuzzy
The use of virtual reality and fuzzy neural network tools to identify the focus on achieving project results of virtual reality tools and the capabilities of fuzzy inference systems
Development of a fuzzy knowledge base as a core of the athene platformThe article describes the process of developing a
fuzzy knowledge base (KB) as a core of the Athene
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