Machine Learning Supporting Experimental Design for Product Development in the Lab
暂无分享,去创建一个
Michael Bortz | Andreas Dinges | Hergen Schultze | Jens Babutzka | Gregor Foltin | David Hajnal | Horst Weiss | M. Bortz | H. Weiss | D. Hajnal | Jens Babutzka | Andreas Dinges | H. Schultze | Gregor Foltin
[1] Pritam Ranjan,et al. A Computationally Stable Approach to Gaussian Process Interpolation of Deterministic Computer Simulation Data , 2010, Technometrics.
[2] Victor Picheny,et al. Multiobjective optimization using Gaussian process emulators via stepwise uncertainty reduction , 2013, Statistics and Computing.
[3] Hugh A. Chipman,et al. GPfit: An R Package for Fitting a Gaussian Process Model to Deterministic Simulator Outputs , 2013, 1305.0759.
[4] Alexei Lapkin,et al. Automatic discovery and optimization of chemical processes , 2015 .
[5] Jürgen Schmidhuber,et al. Deep learning in neural networks: An overview , 2014, Neural Networks.
[6] Donald R. Jones,et al. Efficient Global Optimization of Expensive Black-Box Functions , 1998, J. Glob. Optim..
[7] Michael Bortz,et al. Experimental Design in a Multicriteria Optimization Context: An Adaptive Scheme , 2018 .
[8] Alex Smola,et al. Kernel methods in machine learning , 2007, math/0701907.
[9] H. Mol,et al. Application of Fragment Ion Information as Further Evidence in Probabilistic Compound Screening Using Bayesian Statistics and Machine Learning: A Leap Toward Automation. , 2016, Analytical chemistry.
[10] Michael W. George,et al. Real-Time Feedback Control Using Online Attenuated Total Reflection Fourier Transform Infrared (ATR FT-IR) Spectroscopy for Continuous Flow Optimization and Process Knowledge , 2013, Applied Spectroscopy.
[11] Klavs F Jensen,et al. An integrated microreactor system for self-optimization of a Heck reaction: from micro- to mesoscale flow systems. , 2010, Angewandte Chemie.
[12] Richard Welke,et al. Multi‐Objective Optimization and Decision Support in Process Engineering – Implementation and Application , 2014 .
[13] SchmidhuberJürgen. Deep learning in neural networks , 2015 .
[14] Michael Bortz,et al. Multi-criteria optimization in chemical process design and decision support by navigation on Pareto sets , 2014, Comput. Chem. Eng..
[15] P. W. Wilson,et al. Statistical Inference in Nonparametric Frontier Models: The State of the Art , 1999 .
[16] Sandro Macchietto,et al. Model-based design of experiments for parameter precision: State of the art , 2008 .
[17] Joachim Kunert,et al. An Efficient Sequential Optimization Approach Based on the Multivariate Expected Improvement Criterion , 2007 .