• 沒有找到結果。

簡化的蟻群最佳演算法與其在模糊類神經網路之應用

N/A
N/A
Protected

Academic year: 2021

Share "簡化的蟻群最佳演算法與其在模糊類神經網路之應用"

Copied!
87
0
0

加載中.... (立即查看全文)

全文

Loading

參考文獻

相關文件

Abstract - A 0.18 μm CMOS low noise amplifier using RC- feedback topology is proposed with optimized matching, gain, noise, linearity and area for UWB applications.. Good

For Experimental Group 1 and Control Group 1, the learning environment was adaptive based on each student’s learning ability, and difficulty level of a new subject unit was

This research is to integrate PID type fuzzy controller with the Dynamic Sliding Mode Control (DSMC) to make the system more robust to the dead-band as well as the hysteresis

蔣松原,1998,應用 應用 應用 應用模糊理論 模糊理論 模糊理論

Sheu, 2010, “A Quality Control of the Injection Molding Process Using EWMA Predictor and Minimum-Variance Controller,” International Journal of Advanced Manufacturing

Then, these proposed control systems(fuzzy control and fuzzy sliding-mode control) are implemented on an Altera Cyclone III EP3C16 FPGA device.. Finally, the experimental results

Even though the σ−modification term in the parameter tuning law and the stabilizing control term in the adaptive control law are omitted, we shall show that asymptotical stability

Generally, the declared traffic parameters are peak bit rate ( PBR), mean bit rate (MBR), and peak bit rate duration (PBRD), but the fuzzy logic based CAC we proposed only need