Ali Adeli

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The Swarm Intelligence is a new and modern method employed in optimization problems. The Swarm Intelligence method is based on the en masse movement of living animals like birds, fishes, ants and other social animals. Migration, seeking for food and fighting with enemies are 107 social behaviors of animals. Optimization principle is seen in these animals.(More)
The aim of this study is to design ANFIS model and Fuzzy Expert System for determination of concrete mix design and finally compare their results. The datasets which has been loaded into ANFIS contains 552 mix designs and has been based on ACI mix designs. Moreover, in this study, a Fuzzy Expert System has been designed. Input fields of fuzzy expert system(More)
In this paper, MLP network with sliding-mode controller and neural control is designed to the joint position control of two-link robot manipulators for periodic motion and predefined trajectory tracking control. Because the nonlinear nature robot, first the nonlinear and robust method sliding mode as a control theory for the system is chosen. Chattering(More)
A new approach for feature selection is presented in this paper. The proposed approach uses the Harmony Search with a novel fitness function to eliminate noisy and irrelevant features. Harmony vectors contain real weights which refer to feature space. The best and significant features are selected according to a threshold. Fitness function of Harmony Search(More)
The aim of this comparative study is to evaluate the effects of different methods, used for ''aggregation'' and ''defuzzification'', on the output. To reach this goal, six fuzzy inference systems (FIS-1, FIS-2, FIS-3, FIS-4, FIS-5 and FIS-6) have been designed (with the same rule bases) with different methods used for aggregation, defuzzification, and(More)
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