Artificial neural networks (ANN) or connectionist systems are computing systems vaguely inspired by the biological neural networks and astrocytes that constitute animal brains. The neural network itself is not an algorithm, but rather a framework for many different machine learning algorithms to work together and process complex data inputs.[4] Such systems "learn" to perform tasks by considering examples, generally without being programmed with any task-specific rules. (from https://en.wikipedia.org/wiki/Artificial_neural_network)


Associated projects

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  Value chain pilot I Result description Data is being collected and transmitted real time to the cloud based COMPOSITION BMS and being used as learning tool for the artificial neural networks thatwill predict the failure probabilities of a specific
  Innovation Taxon description New tools, methodology and approaches for the user experience intelligence (i.e. social networks, crowd sourcing, social science methods, qualitative and quantitative, to generate insights, models and
  Cognitive and artificial intelligence (AI) technologies - machine learning Comments Machine learning techniques, such as particle filters or hidden Markov models, or continuous/recurrent deep neural network, are going to be employed for analysing big datasets.
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  Data processing Comments In addition, convolutional neural networks are used to process high-throughput video streams, providing a non-time critical stream of features for cloud services.

Associated results & demonstrators

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EMA DEMO | EMA DEMO

Project: IFACOM

Type:

Updated at: 22-06-2018

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Description • statistical and cognitive systems: Statistical Process Control (SPC) & Neural Networks data analysis with the aim to find the correlations between the measured Key Process Variables and the Target

D8.5 | Value chain pilot I

Project: COMPOSITION

Type:

Updated at: 07-10-2019

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Description Data is being collected and transmitted real time to the cloud based COMPOSITION BMS and being used as learning tool for the artificial neural networks thatwill predict the failure probabilities of a specific

D8.6 | Value chain pilot II

Project: COMPOSITION

Type:

Updated at: 07-10-2019

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Description networks that will predict the failure probabilities of a specific equipment.Several KPI’s were identified and they aredisplayed using an HMI specifically designed for the COMPOSITION project.