Date: May 11, 2010
NEURAL NETWORKS in CLASSIFICATION, REGRESSION and DATA MINING
July 12-16, 2010, Porto, Portugal
www.isep.ipp.pt/nn email: email@example.com
The Summer School will be held at Porto, Portugal, jointly organized by the Engineering Biomedical Institute (INEB) and the Polytechnic School of Engineering of Porto (ISEP), with the collaboration of GECAD (Knowledge Engineering and Decision Support Research Center).
This year's edition also includes a POSTER/WORKSHOP SESSION providing a discussion forum where the participants can obtain peer guidance for their projects.
Neural networks (NN) have become a very important tool in classification and regression tasks. The applications are nowadays abundant, e.g. in the engineering, economy and biology areas. The Summer School on NN is dedicated to explain relevant NN paradigms, namely multilayer perceptrons (MLP), radial basis function networks (RBF) and support vector machines (SVM) used for classification and regression tasks, illustrated with applications to real data. Specific topics are also presented, namely Recurrent Neural Networks, Functional Networks, Multi-Valued and UB Neurons, Pattern Classification, MLP's with Entropic Criteria and Data Mining using NN.
Classes include practical sessions with appropriate software tools. The trainee has, therefore, the opportunity to apply the taught concepts and become conversant with a broad range of NN topics and applications.
A special poster session will also provide a discussion forum where the participants can obtain peer guidance for their projects
A preliminary programme and further information about the classes are available at the school webpage ( www.isep.ipp.pt/nn )
Early Registration: 15 May 2010
Poster Submission: 15 June 2010
Hotel booking : 15 June 2010
Summer School: 12-16 July 2010
All participants are required to register prior to the start of the School - until the June 15 - even if you choose to pay the late registration fee at the registration desk.
Please note that only a LIMITED number of participants can be accepted.