Adaptation of a Feedforward Artificial Neural Network Using a Linear Transform

In this paper we present a novel method for adaptation of a multi-layer perceptron neural network (MLP ANN). Nowadays, the adaptation of the ANN is usually done as an incremental retraining either of a subset or the complete set of the ANN parameters. However, since sometimes the amount of the adaptation data is quite small, there is a fundamental drawback of such approach

• Type: Journal
• Year: 2010
• Where: TSD
• Authors: Jan Trmal, Jan Zelinka, Ludek Müller
• Keywords: Adaptation Problem, Parameters, Phoneme Recognizer, Signal Processing, TSD 2010