INFER
Computational Intelligence Platform for Evolving and Robust Predictive Systems
| Coordinatore |
Organization address
address: Fern Barrow contact info |
| Nazionalità Coordinatore | Non specificata |
| Totale costo | 1˙555˙380 € |
| EC contributo | 0 € |
| Programma | FP7-PEOPLE
Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013) |
| Anno di inizio | 2010 |
| Periodo (anno-mese-giorno) | 2010-07-01 - 2014-06-30 |
Partecipanti
| # | ||||
|---|---|---|---|---|
| 1 |
BOURNEMOUTH UNIVERSITY
Organization address
address: Fern Barrow contact info |
UK ("POOLE,DORSET") | coordinator | 890˙421.00 |
| 2 |
Research & Engineering Center Sp.z o.o.
Organization address
address: Strzegomska 46B contact info |
PL (Wroclaw) | participant | 517˙181.00 |
| 3 |
EVONIK INDUSTRIES AG
Organization address
address: RELLINGHAUSER STRASSE 1-11 contact info |
DE (ESSEN) | participant | 147˙778.00 |
| 4 |
EVONIK DEGUSSA GmbH
Organization address
address: Rellinghauser Str. 1-11 contact info |
DE (Essen) | participant | 0.00 |
Mappa
Word cloud
Esplora la "nuvola delle parole (Word Cloud) per avere un'idea di massima del progetto.
Obiettivo del progetto (Objective)
'The proposed research programme will focus on pervasively adaptive software systems for the development of an open modular computational INtelligence software platform For Evolving and Robust predictive systems (INFER) applicable in various commercial settings and industries. The main innovation of the project is a novel type of environment in which the “fittest” predictive model for whatever purpose will emerge – either autonomously or by user high-level goal-related assistance and feedback. The application of the INFER platform as smart adaptive soft sensors will contribute to increasing the operational excellence of the European process industry represented by a large international company, Evonik Degussa GmbH from Germany, focusing on specialty chemistry. The jointly developed software platform will translate the latest academic research results achieved with help of the academic partner, Bournemouth University from UK, into a commercial software product through involvement of highly skilled and innovative SME software company, Research & Engineering Centre from Poland. In facilitating a continuous exchange of expertise, firstly by including new and innovative ideas in actual industry products and services and secondly by providing constant feedback in terms of practical applicability of the new approaches and future needs and requirements, a long-term research collaboration and mechanisms for commercial exploitation of research results will be established. The partners believe that engineering of more robust, context aware and easy-to-use ICT systems, which improve, adapt and maintain themselves within their respective environments and constraints, will play a crucial role in removing various technological roadblocks and reinforcing Europe’s industrial and commercial strengths.'
Introduzione (Teaser)
An EU-funded project has combined modern software, systems and knowledge engineering together with applications' experience of the process industry. This has enabled the development of novel algorithms and a software platform for robust, adaptive predictive modelling applicable to different industries.