Development of machinability data model for end milling using artificial neural networks

QR Code

Development of machinability data model for end milling using artificial neural networks

Machinability data is a crucial factor affecting manufacturing cost and quality. Two artificial neural network machinability data models have been developed for the recommendation of proper cutting speed and feed rate for the peripheral end milling process. The first model is for single tool of high...

Full description

Bibliographic Details
Main Author:	Chu, Bee Wang
Format:	Thesis
Language:	English
Published:	2009
Subjects:	Information storage and retrieval systems - Mechanical engineering Neural networks (Computer science) Artificial intelligence
Online Access:	http://psasir.upm.edu.my/id/eprint/51547/ http://psasir.upm.edu.my/id/eprint/51547/1/FK%202009%20115RR.pdf

Similar Items

Modularity in artificial neural networks
by: Amer, Mohammed Elsayed Mohammed
Published: (2021)

Modelling of biogas production process with evolutionary artificial neural network and genetic algorithm
by: Fakharudin, Abdul Sahli
Published: (2017)

Hybrid pre-classification technique – artificial neural network for lightning severity classification
by: Omar, Muhammad Azhar
Published: (2014)

Testing the Weak Form Efficiency of Shanghai Stock Exchange with Artificial Neural Networks
by: Wong, Tai-chi Alick
Published: (2007)

The effect of varying kilovoltage (kVp) and tube current (mAs) on the image quality and dose of CTA head phantom / Sity Noor Ayseah Dzulkafli
by: Dzulkafli, Sity Noor Ayseah
Published: (2015)

Investment Process in China's Mutual Funds and Application of Artificial Intelligence
by: Xie, Ningjia
Published: (2008)

Neural Network Preference Learning Approaches For Improving Agent-Based Meeting Scheduling Problems
by: Tang, En Lai
Published: (2007)

Prediction for cardiovascular disease by using artificial neural network system / Nik Anis Nik Ab Rahman
by: Nik Ab Rahman, Nik Anis
Published: (2012)

Control of electrical systems using artificial intelligence for more electric aircraft applications
by: Hussaini, Habibu
Published: (2023)

Forecasting Malaysian exchange rate artificial neural network : 2010-2018 / Ikhwan Muzammil Amran
by: Amran, Ikhwan Muzammil
Published: (2018)

An investigation of the design and use of feed-forward artificial neural networks in the classification of remotely sensed images
by: Kavzoĝlu, Taşkin
Published: (2001)

Optical measurement of ultra fine linewidths using artificial neural networks
by: Smith, Richard
Published: (2006)

Rainfall-induced landslide prediction using backpropagation neural network / Noor Munirah Md Saad
by: Md Saad, Noor Munirah
Published: (2006)

The use of artificial neural networks to retrieve sea-level information from remote data sources
by: Makarynskyy, Oleg, et al.
Published: (2004)

Model for football player's market values by using artificial neural network / Qoszira Dullah
by: Dullah, Qoszira
Published: (2020)

Mobile fever diagnosis expert system / Mohd Nashrullah Zulfakar
by: Mohd Nashrullah, Zulfakar
Published: (2014)

Forecasting Interest Rates from the Term Structure: Support Vector Machines Vs Neural Networks
by: Jacovides, Andreas
Published: (2008)

An artificial neural network model for downscaling of passive microwave soil moisture
by: Chai, S., et al.
Published: (2011)

Artificial intelligence for modelling load-settlement response of axially loaded bored piles
by: Shahin, Mohamed
Published: (2014)

Artificial intelligence for modeling load-settlement response of axially loaded (steel) driven piles
by: Shahin, Mohamed
Published: (2013)

Random access control schemes for massive machine type communications in cellular IOT networks
by: Althumali, Huda Dakhilallah A
Published: (2022)

Use of Soil Moisture Variability in Artificial Neural Network Retrieval of Soil Moisture
by: Chai, Soo See, et al.
Published: (2010)

Artificial neural network model for prediction of drilling rate of penetration and optimization of parameters
by: Bataee, M., et al.
Published: (2014)

Development of committee machine models for multiple response optimization problems
by: Golestaneh, Seyed Jafar
Published: (2014)

Machine learning techniques (support vector machine and artificial neural network) for fundamental and technical analysis: a study on SET and PSEI
by: Chin, Jern Tat
Published: (2021)

An empirical study towards efficient learning in artificial neural networks by neuronal diversity
by: Adamu, Abdullahi Shuaibu
Published: (2016)

Modeling and simulation of multi-stream heat exchanger using artificial neural network
by: Khan, M., et al.
Published: (2012)

Faktor yang Mempengaruhi Kejayaan Penggunaan Sistem Maklumat Pelajar Berasaskan Komputer di Maktab Perguruan
by: Abd Latib, Nizam
Published: (2004)

Bio-Mirror project for public bio-data distribution
by: Gilbert, Donald G., et al.
Published: (2004)

Using Artificial Neural Networks to estimate sea level in continental and island coastal environments
by: Makarynskyy, Oleg, et al.
Published: (2005)

Development Of Location Based Services For Geocoding And Recording Road Accidents Data
by: Al-Habshi, Mohammed Mustafa
Published: (2008)

A review of artificial intelligence applications in shallow foundations
by: Shahin, Mohamed
Published: (2015)

A kinematical approach for robot manipulator using a segmented tree neural networks with randomization
by: Baharin, Iskandar, et al.

The evaluation of content-oriented XML document retrieval: a case study of FTMSK official letter / Hayati Abdul Rahman
by: Abdul Rahman, Hayati
Published: (2006)

Information and Communication Technology (ICT) for Agricultural Development: Factors Associated With Computer Utilization at Area Farmers Organizations in Peninsular Malaysia
by: Omar, Bahiyah
Published: (2003)

Development of an Automated Technique for Reconstructing Jawi Characters in Historical Documents
by: Zulcaffle, Tengku Mohd Afendi
Published: (2007)

Query disambiguation approach using triple-filter
by: Agaie, Aliyu Isah
Published: (2017)

An integrated artificial neural network-genetic algorithm clustering ensemble for performance assessment of decision making units
by: Azadeh, A., et al.
Published: (2011)

Optimizing overbreak prediction based on geological parameters comparing multiple regression analysis and artificial neural network
by: Jang, Hyongdoo, et al.
Published: (2013)

Development of a Tuition Center Information System
by: Chai, Kow Kim
Published: (2003)