The following 3 pre-conference courses are running
on 13th September at the Crowne Plaza Hotel, Chester.
These courses can be booked as a standalone option or
combined with conference registration.
Course One
NON-LINEAR
MACHINE LEARNING FOR CALIBRATION AND CLASSIFICATION
While linear machine learning
methods, such as Partial Least Squares (PLS) regression, work in a very wide
range of problems of chemical and biological interest, there are times when the
relationships between variables are complex and require non-linear modelling
methods. Many non-linear machine learning methods have been developed, however,
we will focus on a few that we have found quite useful. This includes Locally
Weighted Regression (LWR), Artificial Neural Networks (ANNs) and Support Vector
Machines (SVMs). ANNs and SVMs for both regression and classification will be
considered. The course concludes with a segment on how to choose a method.
This course will be facilitated by Barry Wise, Eigenvector
Course Two
SCREENING
AND OPTIMISATION IN ONE; EXPERIMENTAL EFFICIENCY
This half-day workshop will
focus on Definitive Screening Designs (DSD), exploring how these relatively new
experimental designs deliver efficiency benefits over more classical,
“betterknown” designs such as fractional factorials.
This course will be facilitated
by Matthew Linsley, University of Newcastle
Course Three
PROCESS
ANALYTICS - USING ADVANCED SENSORS AND DATA ANALYTICS TO DEVELOP RELEVANT AND
IMPACTFUL KPIS
Relevant and actionable KPIs are
essential to maximise the value of any digitalisation initiative. In this
course we will discuss how we can identify and use relevant data and advanced
analytics to develop and implement process enhancing KPIs. How to handle
different types of data, which data analytical strategies to employ and how to
use statistics to establish KPIs are reviewed. It is shown how you can approach
your data and relevant tools are suggested. The focus is on applications and
relevant theory although mentioned is not reviewed in detail. We will use
spectroscopic and process data, multivariate data analytical methods, and
visualisation dashboards
This course will be facilitated
by Geir Rune Flaten, AspenTech
For full details see https://apact.co.uk/Portals/10/APACT%2022%20Final%20Programme.pdf?ver=l-FnPnPplCLoTLxx68_McQ%3d%3d