Application of knowledge-based cascade-correlation to vowel recognition

François Rivest, Thomas R. Shultz · 2003

Neural network algorithms are usually limited in their ability to use prior knowledge automatically. A recent algorithm, a knowledge-based cascade-correlation (KBCC), extends the cascade-correlation by evaluating and recruiting previously learned networks in its architecture. In this paper, we describe KBCC and illustrate its performance on the problem of recognizing vowels.

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