Neuro-Fuzzy System Modeling

System modeling concerns modeling the operation of an unknown system from a set of measured input-output data and/or some prior knowledge (e.g., experience, expertise, or heuristics) about the system. It plays a very important role and has a wide range of applications in various areas such as control, power systems, communications, networks, machine intelligence, etc. To understand the underlying properties of the unknown system and handle it properly, we can measure the system outputs by feeding a set of inputs and then construct a simulated system model from the obtained inputoutput dataset. Besides, some prior knowledge about the unknown system will also be helpful ABSTRACT