In information driven modeling strategies the Adaptive neuro-fuzzy inference system is one of the hybrid intelligent systems which comprises fuzzy logic and neural network methods. This paper presents a new hybrid intelligent model on multivariate data to enhance the prediction accuracy by combining the adaptive neuro-fuzzy inference system (ANFIS) and Novel Particle Swarm Optimization (NPSO) to build up the hybrid intelligent model. The ANFIS has the advantages of expert knowledge of fuzzy inference system and learning capability of neural networks. The PSO algorithm is modified with some change for training of all parameters of ANFIS structure. The performance of the proposed prediction method has been assessed through exploratory outcomes. The proposed method is assessed in light of evaluation for prediction accuracy by using Mean Squared Error (MSE) and computing time.

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