Artificial Intelligence

Contents:

• Introduction: intelligent methods, brief history of their origin, possibilities, prevalence, applicability and efficiency.
• Fuzzy logic: basic concept of fuzzy logic, meaning and significance, definition, fuzzy sets, properties, fuzzy numbers, crisp numbers, fuzzy reasoning process, phases, smoothing, rules and reasoning (if-then), sharpening. Sharpening processes, applicability, analysis.
• Neural networks: description, operation, neuron model and network architecture, neurons with one or more inputs, learning, learning rules. Linear transformations of neural networks, optimization, network learning methods.
• Combination of neural networks and fuzzy logic (neurofuzzy), procedures, rules, operation.
• Computer tools: some software tools, their capabilities and uses. FuzzyTech,
• Matlab.