Titlebook: Neural Networks; EURASIP Workshop 199 Luis B. Almeida,Christian J. Wellekens Conference proceedings 1990 Springer-Verlag Berlin Heidelberg

IST

溺爱

Ligneous

显赫的人

Inversion in time,nstraints, e.g. in a subspace of the input space. This method works by iterative exclusion of invalid activation values. It might be a helpful way to judge the properties of a trained network..We conclude with simulation results of three different tasks: XOR, morse signal decoding and handwritten digit recognition.

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Conference proceedings 1990udy of the capabilities of neural networks. The following papers are organized into parts dealing with theory and algorithms, speech processing, image processing, and implementation. The workshop was sponsored by the European Association for Signal Processing without restriction on the origin of participants.

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BROW

Palpitation

GEON

Neural network based continuous speech recognition by combining self organizing feature maps and Hination with a Markov model is given. The results obtained with that approach are evaluated and compared to the performance obtained with the use of ordinary HMM based speech recognition algorithms. A final evaluation of the basic idea and conclusions resulting in recommendations for future research directions are given at the end of the paper.