Neural Networks and Fault Probability Evaluation for Diagnosis Issues

<div class="floats-full-page floats-full-page-figure"><h2>Figure 6</h2><div class="floats-full-page-caption"><table>Fault detection using residual analysis.</table></div><div class="floats-full-page-content"><table class="table-group" width="800px"><tr class="fig-image"><td><img alt="370486.fig.006" src="https://static-01.hindawi.com/articles/cin/volume-2014/370486/figures/370486.fig.006.jpg" /></td></tr></table></div></div>

Figure 6 | Neural Networks and Fault Probability Evaluation for Diagnosis Issues

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Figure 6: Neural Networks and Fault Probability Evaluation for Diagnosis Issues

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Figure 6

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<p><em>Computational Intelligence and Neuroscience</em> is a forum for the interdisciplinary field of neural computing, neural engineering and artificial intelligence. The journal’s focus is on intelligent systems for computational neuroscience.</p>


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<p>Chief Editor, Professor Cichocki, engages in world-leading research in the field of artificial intelligence and biomedical applications of advanced data analytics technologies.</p>


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