Titlebook: Computational Intelligence Methods for Green Technology and Sustainable Development; Proceedings of the I Yo-Ping Huang,Wen-June Wang,Nguye

Morbid

Optimized Gait Planning of Biped Robot Using Multi-objective JAYA AlgorithmJAYA algorithm. The biped is structured with eleven links activated by ten joints. The hip and feet position and speed of biped are determined based on the inverse kinematics. Two objectives related to the stability of biped in walking and to follow the preset step-length value have been satisfactor

Fraudulent

Improve Stability of Deep Flux Weakening Operation Control Strategies for IPMSMnce costs, high power density, and cheaper of permanent magnet costs. The flux-weakening control method is applied to enlarge the speed range of IPMSMs. The traditional flux-weakening control strategy degrades the control performance in a deep flux-weakening region due to the disturbance of the q-ax

记忆

SIT

Die Nahrungsmitteluntersuchung,tive results with MO-PSO and MO-NSGA-2. The simulation and experimental results investigated on the real biped system HUBOT-5 confirm that the proposed MO-JAYA ensures an effective and robust gait planning for biped with accurate step-length magnitude.

justify

Machine Learning-Based Evolutionary Neural Network Approach Applied in Breast Cancer Tumor Classificference optimization algorithms as follow: Back-propagation (BP), classical PSO and APSO. The results show that the proposed APSO method significantly improved the performance of model in test accuracy, convergence speed and local minimum avoidance in comparison with BP and classical PSO.

Adj异类的

arthroplasty

2194-5357 rnational Conference on Green Technology and Sustainable Dev.This book is a selected collection of 54 peer-reviewed original scientific research papers of the 5th International Conference on Green Technology and Sustainable Development (GTSD2020) organised in Vietnam in 2020. It highlights the impor

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假设

Gelenkveränderungen bei Harnsäuregichtd for both the inner and outer loop to estimate and cancel uncertainties and disturbances. The stability, tracking effectiveness of the closed system are verified via theoretical analysis. The numerical simulation is given to illustrate the results.

prosperity

Stoffwechsel und Energiewechsel excitation signals. A flexible sliding mode control interface is then developed to realize control objectives using the estimation result of the neural network. The control performance of the closed-loop system is verified by the intensively theoretical proof and simulation results.