• Internal Code :
  • Subject Code : EE5612
  • University :
  • Subject Name : IT Computer Science

Communication Network Security

i). A fuzzy neural network or neuro-fuzzy system is an application of artificial intelligence which is called learning machine. It helps in finding the parameters of a fuzzy system by exploring the techniques of approximation from the of neural network. Neural networks and fuzzy systems have something in common and they both can be used to solve a lot of problems like solving the patterns such as pattern recognition, estimating the density or regression, it is possible if any mathematical code is not provided in the problem. Both have certain merits and demerits that almost disappear by amalgamating the concepts of both. 

Various features of neuro fizzy system:

  1. A neuro-fuzzy system is relied on a fuzzy system that has all the skills to develop the methods of data driven learning from the theory of neural network.
  2. This system can be represented as the set of fuzzy rules at any moment of learning.
  3. It is represented with the help of three layer feedback forward network.
  4. It has semantic properties.
  5. Any system of logic can be fuzzified.

We can use neuro fuzzy system in various places such as we can create to solve the trade offs between two parties. It is used in making robots as it is the part of machine learning. It is a thing where we don’t have to give instructions to the machine and machine has to do the work on its own without being encoded.

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