This paper presents the nonlinear time series prediction using Lyapunov theory-based fuzzy neural network and multi-objective genetic algorithm (MOGA). The architecture employs fuzzy neural network (FNN) structure and the tuning of the parameters of FNN using the combination of the MOGA and the modified Lyapunov theory-based adaptive filtering algorithm (LAF). The proposed scheme has been used ...

In the past few years, an evolution in wireless communication has been emerged, along with a new type large potential application of network appears, which is Mobile Ad-Hoc Network (MANET). Black hole attack consider one most affected kind on MANET. Therefore, use intrusion detection system (IDS) major importance MANET protection. this paper, optimization fuzzy based proposed automate process p...

This paper proposes an optimal design for interval type-2 Takagi-Sugeno-Kang (TSK) fuzzy logic system. In this method, the fuzzy c-means clustering algorithm is used to determine structure of fuzzy rule as well as number of rules. A hybrid between chaos firefly algorithm and genetic algorithms (CFGA) is developed, which is used to find the desirable parameters of membership functions and conseq...

This paper proposes a method for adaptive identification and control for industrial applications. The learning of a T-S fuzzy model is performed from input/output data to approximate unknown nonlinear processes by a hierarchical genetic algorithm (HGA). The HGA approach is composed by five hierarchical levels where the following parameters of the T-S fuzzy system are learned: input variables an...

To solve the difficulty in selecting crossover probability and mutation genetic algorithms, a fuzzy immune algorithm based on adaptive estimation of reasoning system is proposed, it used parameter optimization design two-degree-of-freedom PID controller. According to experiment simulation results, classic evolution tends halt after 37 generations, with fitness value 7.135, whereas stop 20 7.486...

In this paper, we describe an algorithm FARDiff (Fuzzy Adaptive Resonance Diffusion) which combines Diffusion Maps and Fuzzy Adaptive Resonance Theory to do clustering and biclustering on high dimensional data. We describe some applications of this method.

this paper presents fuzzy and conventional performance of model reference adaptive control(mrac) to control a dc drive. the aims of this work are achieving better match of motor speed with reference speed, decrease of noises under load changes and disturbances, and increase of system stability. the operation of nonadaptive control and the model reference of fuzzy and conventional adaptive contr...