Abstract :
An overview is given of Pygmalion, which aims to promote European industry´s application of neural networks and develop ´standard´ computational tools for their programming and simulation. A complete environment for developing algorithms and applications will demonstrate the network capabilities expected from their properties of massive parallelism, fault tolerance, adaptivity, and learning. Key real-world applications in image processing and speech processing and a small application in acoustic signals were selected to demonstrate the potential of neural networks for various industrial problems. In image processing, remote data sensing and factory inspection were investigated. In speech processing, the foundations were laid for an automatic speech recognition system by developing efficient learning algorithms for the basic building blocks.<>
Keywords :
computerised picture processing; neural nets; optical information processing; speech recognition; ESPRIT II project 2059; Pygmalion; acoustic signals; adaptivity; automatic speech recognition system; factory inspection; fault tolerance; image processing; learning; massive parallelism; neural networks; neurocomputing; programming; remote data sensing; simulation; speech processing; Acoustic applications; Computational modeling; Computer networks; Fault tolerance; Image processing; Industry applications; Neural networks; Parallel processing; Speech processing; Standards development;
