Self-Adaptive Prediction of Cloud Resource Demands Using Ensemble Model and Subtractive-Fuzzy Clustering Based Fuzzy Neural Network

<table class="figure-group"><tr class="fig-image" id="a"><td><object data="https://static.hindawi.com/articles/cin/volume-2015/919805/figures/919805.fig.006a.svgz" name="919805.fig.006a" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(a) </b>The actual output and prediction output of ESFCFNN training procedure</td></tr><tr class="fig-image" id="b"><td><object data="https://static.hindawi.com/articles/cin/volume-2015/919805/figures/919805.fig.006b.svgz" name="919805.fig.006b" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(b) </b>The normalized error curve of ESFCFNN training procedure</td></tr></table>

<div>The test results and error of ESFCFNN.</div>

Computational Intelligence and Neuroscience

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Figure 6

Figure 6: Self-Adaptive Prediction of Cloud Resource Demands Using Ensemble Model and Subtractive-Fuzzy Clustering Based Fuzzy Neural Network 