idw – Informationsdienst Wissenschaft
Nachrichten, Termine, Experten
Nachrichten, Termine, Experten
Objectives
The tutorial deals with the implementation of neural networks in our simulation and development environment, short SENN. We will introduce the theory of simple and deep feedforward neural networks and show how to implement these models in our software platform SENN. We address the topic of data preprocessing for neural networks and the configuration of the learning algorithm, which is error back propagation together with a stochastic learning rule.
The guideline for implementing neural networks in SENN is the correspondence principle between equations, architectures and local algorithms. The equations of a neural network can be represented by an architecture. Local algorithms, like error backpropagation, that work on the architecture allow for the training of the model, i.e. fitting it to data. Besides (deep) feedfoward neural networks we will also deal with time-delay recurrent neural network architectures, where deepness is a natural feature when non-algorithmic learning techniques like error backpropagation through time are used. Simple recurrent neural networks, long-short term memory networks (LSTM), echo state networks and large recurrent neural networks are popular examples.
We implement all neural network models in SENN using a typical application example, energy load forecasting. Here, we also deal with the different modeling steps, i.e. data preprocessing, learning the model and regularizing it. This also allows us to compare the different modeling lines.
Ralph Grothmann, currently employed by Siemens AG, Corporate Technology as their Principal Key Expert Consultant for predictive analytics, has a PhD and diploma in quantitative finance, both received from the University of Bremen, Germany. Research interests are Modeling of dynamical systems with recurrent neural networks and time series forecasting.
Registration
For registration please send an email to Mr Jens Behrmann: jbehrmann@uni-bremen.de
Information on participating / attending:
Date:
04/06/2017 09:00 - 04/07/2017 17:00
Registration deadline:
04/05/2017
Event venue:
University of Bremen
Bibliothekstraße 5
Building MZH
Seminar Room 0240
28359 Bremen
Bremen
Germany
Target group:
Students
Email address:
Relevance:
international
Subject areas:
Biology, Chemistry, Mathematics, Medicine
Types of events:
Seminar / workshop / discussion
Entry:
02/27/2017
Sender/author:
Dr. Anja Milde
Department:
Presse- und Öffentlichkeitsarbeit
Event is free:
yes
Language of the text:
English
URL of this event: http://idw-online.de/en/event56891
FlyerTrainingCourseDeepNeuralNetworks You can combine search terms with and, or and/or not, e.g. Philo not logy.
You can use brackets to separate combinations from each other, e.g. (Philo not logy) or (Psycho and logy).
Coherent groups of words will be located as complete phrases if you put them into quotation marks, e.g. “Federal Republic of Germany”.
You can also use the advanced search without entering search terms. It will then follow the criteria you have selected (e.g. country or subject area).
If you have not selected any criteria in a given category, the entire category will be searched (e.g. all subject areas or all countries).
