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- W2954622405 abstract "This paper considers the self-tuning PID parameters by using Neural Network (NN) together with Genetic Algorithm (GA) which is called the NN-GA. The NN-GA is the combination of Neural Network and Genetic Algorithm which is optimized the learning process of NN by using GA. From the simulation results, the NN-GA gives the better transient response i.e., the percent overshoot, the steady state error, the rise time and the settling time when compared with the pure NN, pure GA and PSO." @default.
- W2954622405 created "2019-07-12" @default.
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- W2954622405 date "2018-06-30" @default.
- W2954622405 modified "2023-09-26" @default.
- W2954622405 title "Self-tuning PID Parameters by using NN-GA for Cruise Control System" @default.
- W2954622405 doi "https://doi.org/10.21535/just.v6i1.1004" @default.
- W2954622405 hasPublicationYear "2018" @default.
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