volume 39, issue 2, P255-262 1999
DOI: 10.1088/0029-5515/39/2/308
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Abstract: A feed-forward neural network with two hidden layers is used in this work to forecast major and minor disruptive instabilities in TEXT discharges. Using soft X-ray signals as input data, the neural net is trained with one disruptive plasma pulse, and a different disruptive discharge is used for validation. After being properly trained the networks, with the same set of weights, is then used to forecast disruptions in two others different plasma pulses. It is observed that the neural net is able to predict the …

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