The purpose of this research is to develop a predictive turning-force model based on neural networks. In the first stage of the research, a cutting-force model based on orthogonal machining theory is studied. Turning forces can be estimated from this model using complex computational procedures when
Evaluation of wear of turning carbide inserts using neural networks
โ Scribed by S. Das; R. Roy; A.B. Chattopadhyay
- Publisher
- Elsevier Science
- Year
- 1996
- Tongue
- English
- Weight
- 435 KB
- Volume
- 36
- Category
- Article
- ISSN
- 0890-6955
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
Feature extraction and decision-making is a matter of considerable interest for condition monitoring of complex phenomena with multiple sensors. In tool wear monitoring, the extraction of subtle aspects of signals from a range of transient and static events offers a special challenge for diagnostic
The ability to generate predictive models linking the in vitro assessment of pharmaceutical products with in vivo performance has the potential to enable greater control of clinical quality whilst minimizing the number of in vivo studies in drug development. Artificial neural networks (ANNs) provide
## Abstract Dermatomyositis is an autoimmune disease characterized by an erythematous rash and severe muscle weakness. ^31^P Magnetic resonance spectroscopy (MRS) provides quantitative data for longitudinal monitoring of disease status and responses to immunosuppressive therapy. A disease variant,