在FNN的基于知识的系统中，一个条件语句集合，即IF—THEN规则集常

In the knowledge-based system of FNN, a set of conditional sentences, that is, the IF-THEN rule set is often used to express knowledge extracted from human experts. This kind of knowledge is usually related to uncertainty and vague items, such as high, low, moderate and medium. Because the form of its rules conforms to people's habits of thinking and language expression, it can easily express human knowledge. <br>FNN also has the advantages of fuzzy logic that can easily express human knowledge and distributed information storage and learning capabilities of neural networks. It provides an effective tool for the modeling and control of complex systems. It has been applied in many fields and has achieved considerable results. They are generally used in electronic engineering and automatic control to simulate the thinking and reasoning process of people dealing with problems and to help people make correct decisions in complex environments

In FNN's knowledge-based system, a set of conditional statements, the IF-THEN rule set, is often used to represent knowledge extracted from human experts. This knowledge is often associated with uncertainty and fuzziness, such as high, low, moderate, etc. Because its rules form in line with people's habits of thinking and language expression, it is easy to express human knowledge.<br>FNN also has the advantages of fuzzy logic and distributed information storage and learning ability of human knowledge and neural network, which provides an effective tool for the construction and control of complex systems, and has been applied to many fields and achieved considerable results. They are commonly used in electronic engineering and automatic control to simulate the process of thinking and reasoning in which people deal with problems and to assist people in making the right decisions in complex environments.

In FNN's knowledge-based system, a conditional statement set, i.e. if-then rule set, is often used to represent knowledge extracted from human experts. This kind of knowledge is usually related to uncertainty and fuzzy items, such as high, low, moderate and so on. Because the form of its rules accords with people's habit of thinking and language expression, it can express human knowledge conveniently.<br>FNN has the advantages of easy expression of human knowledge by fuzzy logic, distributed information storage and learning ability of neural network. It provides an effective tool for modeling and control of complex systems. It has been applied in many fields and achieved considerable results. They are generally used in electronic engineering and automatic control. They are used to simulate people's reasoning process in dealing with problems and help people make correct decisions in complex environments<br>