A new automatic machine learning based hyperparameter optimization for workpiece quality prediction

Research on the Milling Tool Wear and Life Prediction by Establishing an Integrated Predictive Model

(2019) Yinfei Yang et al.   MEASUREMENT

Gradient based hyperparameter optimization in Echo State Networks

(2019) Luca Anthony Thiede et al.   NEURAL NETWORKS

Tilt Angle Monitoring by Using Sparse Residual LSTM Network and Grid Search

(2019) Luqiang Shi et al.   IEEE SENSORS JOURNAL

Diagnosing Rotating Machines With Weakly Supervised Data Using Deep Transfer Learning

(2019) Xiang Li et al.   IEEE Transactions on Industrial Informatics

Machinery fault diagnosis with imbalanced data using deep generative adversarial networks

(2019) Wei Zhang et al.   MEASUREMENT

Optimizing event selection with the random grid search

(2018) Pushpalatha C. Bhat et al.   COMPUTER PHYSICS COMMUNICATIONS

A Hybrid Harmony search and Simulated Annealing algorithm for continuous optimization

(2018) Assif Assad et al.   INFORMATION SCIENCES

Extraction and evaluation of melt pool, plume and spatter information for powder-bed fusion AM process monitoring

(2018) Yingjie Zhang et al.   MATERIALS & DESIGN

Evolutionary algorithms for species distribution modelling: A review in the context of machine learning

(2018) Sacha Gobeyn et al.   ECOLOGICAL MODELLING

A deep neural network for classification of melt-pool images in metal additive manufacturing

(2018) Ohyung Kwon et al.   JOURNAL OF INTELLIGENT MANUFACTURING

Prediction of tool-wear in turning of medical grade cobalt chromium molybdenum alloy (ASTM F75) using non-parametric Bayesian models

(2017) Damien McParland et al.   JOURNAL OF INTELLIGENT MANUFACTURING