anfis source code
#1

would you please upload/send source code for anfis using matlab
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#2

The formation of an ANFIS structure is a special type of optimization problem. Thus, meta-heuristics and evolutionary algorithms can be used to train (refine the parameters of) an ANFIS structure. In this post, we are going to share with you, the MATLAB implementation of the evolutionary training of ANFIS. The code, in the first place, creates an initial structure of unprocessed ANFIS and then uses Genetic Algorithm (GA) or Particle Swarm Optimization (PSO) to train the ANFIS. The evolutionarily trained ANFIS is used to solve a nonlinear approximation and regression problem.

A system of adaptive neurofuzzy inference or an adaptive network-based fuzzy inference system (ANFIS) is a kind of artificial neural network that is based on the Takagi-Sugeno fuzzy inference system. The technique was developed in the early nineties. Since it integrates both neural networks and the principles of fuzzy logic, it has the potential to capture the benefits of both in a single framework. Its inference system corresponds to a set of diffuse IF-THEN rules that have learning capacity to approximate non-linear functions. Therefore, ANFIS is considered a universal estimator. In order to use the ANFIS in a more efficient and optimal way, the best parameters obtained by the genetic algorithm can be used.
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