Abstnzcl-The presence of non-linear devices in severnl communication channels, such as satellite channels, causes distortions of the transmitted signal. These distortions are more severe for non-constant envelope modillations such as 16-QAM. Over the last years Neural Networks (NN) have emerged txq competitive tools for linear and non-linear channel equalization. However, their main drawback is often slow convergence speed which results in poor tracking capabilities. The present pnper combines simple N N structures with conventional equalizers. The N N techniques are shown t o efficiently approxiniate the optimal decision boundaries which results in good symbol error rate (SER) performance. The paper gives simulation examples (in the context of satellite mobile channels) and compares neural network approaches t o classical equalization techniques.

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