What is the connection between neural networks and fuzzy logic?
neural networks and fuzzy logic are usually software systems that are designed to recognize patterns in data or events and simulate natural human reactions and decision -making processes. While traditional computer models use discrete calculations for output from the start of the system, neural network and fuzzy logic require training or learning period to achieve meaningful results. Conceptually, it is the opposite of neural networks and fuzzy logic in advanced computer systems of expert systems, which are preset data stores or knowledge bases that are compilation of previously established understanding by various experts in the field.
both inherent advantage and error in adaptive systems that use neural networks and fuzzy logic is their predictive ability. They are non -linear tools for modeling statistical data, which means thmohou to occur to different conclusionsRům to the same problem depending on the way for the analysis of the problem. Where an Expert System Based on Standard Programming Constructs WOULD DECIDE IF An Individual Were Considered Tall Based On A Clear Cutoff Point, Say 6 Feet (1.83 METERS) OR Greater Defines Tall, Where 5 Feet 11 Inches (1.8 Meters) Does Not Based on Analysis of Supporting Data, The Number of Individuals in A Group and Each One's Height, How Average Heights for Sub-Groups Within the Group Affect the Overall Perception of What Is Tall, and so on. This ability in humans is referred to as intuition or nature of view of the world in a non -linear way and billing exceptions for the rule in decision -making.
Other terms used for neural networks and fuzzy logical systems include cases based on cases, genetic algorithms, studies in chaos theory because they apply generally to software and artificial intelligence.solving subjective problems. Neuron networks are a direct attempt to model the way neurons work in the human brain, through the growth cycle of an artificial neural network that analyzes problems when it encounters them. Fuzzy logic, on the other hand, is a software construct that attempts to encode all gray areas in the natural world, mathematically in advance, and goes beyond binary logic 0/1 to include partial truths that come to each other. This mimics the spectrum of value judgments that human beings constantly do when it is simple yes or no reaction to the conditions insufficient.