What’s a Fuzzy PID Controller?

A fuzzy PID controller uses fuzzy logic software to control errors in industrial systems, providing more accurate results in non-linear situations. It calculates deviation over an analog range and maps errors based on persistence. Defuzzification resolves contradictory conclusions. It can provide different levels of response and function as a standard PID controller. A fuzzy PID […]

Neural networks & fuzzy logic: what’s the link?

Neural networks and fuzzy logic are software systems that recognize patterns and simulate human decision-making processes. They require training to produce meaningful results and have the advantage of predictive ability but can arrive at different conclusions. They differ in their approach to solving subjective problems, with neural networks modeling the way neurons work and fuzzy […]

What’s a Fuzzy Navel?

The Fuzzy Navel is a popular cocktail made with equal parts peach schnapps and orange juice, often served over ice and garnished with fresh fruit. Variations include adding vodka or coconut rum, using different juices, or making Jello shots. Non-alcoholic versions are also possible. As with any alcoholic beverage, it should be consumed in moderation. […]

What’s Fuzzy Match?

Fuzzy matching is a method used in computer programs for automatic translation between languages. It finds close matches in a database and requires human review for accuracy. Translation memory (TM) is used for entire sentences, while fuzzy matching is used for phrases not previously translated. The software suggests previous translations and asks for confirmation or […]

What are Fuzzy Expert Systems? (35 characters)

Fuzzy expert systems are a type of decision-making computer software that uses fuzzy logic, which allows for answers that are not just yes or no. The concept was introduced by Dr. Lotfi Zadeh in the 1960s and is based on mathematical values assigned to terms. Knowledge bases are crucial to fuzzy expert systems, and if […]

Fuzzy Neural Networks: What are they?

Fuzzy neural networks combine fuzzy logic software and neural network processing to mimic the human brain’s functionality. They recognize patterns with insufficient data and adapt to the environment. Fuzzy software estimates levels of truth when contradictions arise, while neural networks draw conclusions based on observation. The combination of both approximates how biological organisms learn and […]

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