Knowledge discovery for friction stir welding via data driven approaches: Part 2 – multiobjective modelling using fuzzy rule based systems

In this final part of this extensive study, a new systematic data-driven fuzzy modelling approach has been developed, taking into account both the modelling accuracy and its interpretability (transparency) as attributes. For the first time, a data-driven modelling framework has been proposed designed and implemented in order to model the intricate FSW behaviours relating to AA5083 aluminium alloy, consisting of the grain size, mechanical properties, as well as internal process properties. As a result, ‘Pareto-optimal’ predictive models have been successfully elicited which, through validations on real data for the aluminium alloy AA5083, have been shown to be accurate, transparent and generic despite the conservative number of data points used for model training and testing. Compared with analytically based methods, the proposed data-driven modelling approach provides a more effective way to construct prediction models for FSW when there is an apparent lack of fundamental process knowledge

Special Libraries, Winter 1986

Volume 77, Issue 1https://scholarworks.sjsu.edu/sla_sl_1986/1000/thumbnail.jp

Guest editorial foreword to the special issue on intelligent computation for bioinformatics

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Distributing Leadership

{Excerpt} The prevailing view of leadership is that it is concentrated or focused. In organizations, this makes it an input to business processes and performance—dependent on the attributes, behaviors, experience, knowledge, skills, and potential of the individuals chosen to impact these. The theory of distributed leadership thinks it best considered as an outcome. Leadership is defined by what one does, not who one is. Leadership at all levels matters and must be drawn from, not just be added to, individuals and groups in organizations

Recent developments in chemoinformatics education

Chemoinformatics techniques are increasingly being used to analyse the huge volumes of chemical and biological data resulting from combinatorial synthesis and high-throughput screening programmes. Scientists with both the chemical and the computing skills required to carry out such analyses are currently in very short supply, this resulting in the establishment of MSc programmes for the training of chemoinformatics specialists