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Contenuto archiviato il 2024-04-16

Neurocomputing

Obiettivo

The aim of PYGMALION was to create an independent European technological base for the applications, algorithms and software aspects of neurocomputing. The project led to the coordination of research on connectionist computing techniques and provided the means for developing the necessary software tools for productive research.
The aim of PYGMALION was to create an independent European technological base for the applications, algorithms and software aspects of neurocomputing. The project led to the coordination of research on connectionist computing techniques and provided the means for developing the necessary software tools for productive research. The objectives are to promote information exchange within the European research community; to develop a portable European neural network specification language and tools to stand as an interface between applications and emulation architectures; and to demonstrate the potential of a neural approach through industrial applications, mainly of image processing and speech processing.
High and intermediate languages (N and nC) have been specified. They are close to the C++ language. The development of compilers is underway. All the well known neural models are already available in the library.
A first cascadable very large scale integration (VLSI) demonstrator has been produced and tested. This chip offers full connectivity, which allows the programming of the most commonly used neural networks models (BP, Hopfield, MLP).
Results of applications of neural models (BP-constrained) have proved robustness and good restoration for image compression. Applications for real time high definition television (HDTV) compression are under study. Further work on image segmentation and texture is underway, and is building the basis for future image processing using neural networks.
High level imaging, speech recognition and acoustic signal classification show positive results in 3 areas, with some potential short term commercial applications.
The objectives are to:

- promote information exchange within the European research community
- develop a portable European Neural Network Specification Language and tools to stand as an interface between applications and emulation architectures
- demonstrate the potential of a neural approach through industrial applications, mainly of image processing and speech processing.

Argomento(i)

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Invito a presentare proposte

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Meccanismo di finanziamento

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Coordinatore

THOMSON CSF
Contributo UE
Nessun dato
Indirizzo
9150 RUE DES MATHURINS
92223 BAGNEUX
Francia

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Costo totale
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Partecipanti (14)