A Particle Swarm Optimization based Neural Network and a Harmony Search Algorithm for Surface Roughness in Face Milling
Publish Year: 1388
Type: Conference paper
Language: English
View: 2,213
This Paper With 5 Page And PDF Format Ready To Download
- Certificate
- I'm the author of the paper
این Paper در بخشهای موضوعی زیر دسته بندی شده است:
Export:
Document National Code:
ICME10_119
Index date: 20 November 2009
A Particle Swarm Optimization based Neural Network and a Harmony Search Algorithm for Surface Roughness in Face Milling abstract
In this paper, based on the acquired experimental data, the modeling of the face milling operation for surface roughness is performed by using an Improved Particle Swarm Optimization based Neural Network (IPSONN). Then, the Harmony search algorithm (HS) is utilized for optimizing the cutting parameters. The experimental evaluations of the obtained results using the optimal cutting parameters have shown the superiority of the proposed optimization approach.
A Particle Swarm Optimization based Neural Network and a Harmony Search Algorithm for Surface Roughness in Face Milling Keywords:
Harmony search algorithm-Artificial neural network- Particle Swarm Optimization-Cutting parameters Optimization
A Particle Swarm Optimization based Neural Network and a Harmony Search Algorithm for Surface Roughness in Face Milling authors
M. Reza Soleymani
Assistant Professor in Mech. Eng. Dept., Imam Hussein University, Tehran-Iran
M Asadnia
MSc student in Mech. Eng. Dept., Iran University of Industries and Mines, Tehran-Iran
مراجع و منابع این Paper:
لیست زیر مراجع و منابع استفاده شده در این Paper را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود Paper لینک شده اند :