In this paper we propose a nonlinear scalar predictor based on a combination of Multi Layer Perceptron, Radial Basis Functions and Elman networks. This system is applied to speech coding in an ADPCM backward scheme. The combination of this predictors improves the results of one predictor alone. A comparative study of this three neural networks for speech prediction is also presented.

翻译：在本文中,我们提出了一个非线性天际预测器, 其依据是多层天体、 辐射基函数和 Elman 网络的组合。 这个系统用于ADPCM 后向机制中的语音编码。 这个预测器的组合可以只改善一个预测器的结果。 另外,还介绍了对这三种神经网络进行语言预测的比较研究。