<p>Comparison of the proposed algorithm with the state of the art methods available in literature.</p
An overview of the result of the best-proposed algorithm and the best from the literature.</p
<p>Classification accuracy comparison of the proposed research with the state-of-the-art methods.</p
Comparison of the classification performance by the proposed network and other methods.</p
Comparison of performance obtained by our approach with other state-of-the-art algorithms.</p
Comparison of the proposed method with other conventional methods for throughput of each class.</p
<p>Comparison of the recognition rates of the proposed method with some popular classifiers in the l...
<p>Comparing the performance of the proposed method with other existing methods.</p
<p>Comparison of the proposed method and the existing methods using dataset (ii).</p
<p>Comparison of the proposed method and the existing methods using dataset (i).</p
Comprehensive comparison between the algorithm proposed in this paper and other deep learning algori...
<p>Comparison of classification rates between the proposed method and other methods.</p
<p>Comparison of the average classification accuracies of different algorithms for different numbers...
<p>Comparison of our approach and counterpart algorithms in terms of running time (<i>s</i>).</p
<p>Comparison between traditional and proposed methods in three different databases.</p
<p>The comparison of computational efficiency of each algorithm on the test functions.</p
An overview of the result of the best-proposed algorithm and the best from the literature.</p
<p>Classification accuracy comparison of the proposed research with the state-of-the-art methods.</p
Comparison of the classification performance by the proposed network and other methods.</p
Comparison of performance obtained by our approach with other state-of-the-art algorithms.</p
Comparison of the proposed method with other conventional methods for throughput of each class.</p
<p>Comparison of the recognition rates of the proposed method with some popular classifiers in the l...
<p>Comparing the performance of the proposed method with other existing methods.</p
<p>Comparison of the proposed method and the existing methods using dataset (ii).</p
<p>Comparison of the proposed method and the existing methods using dataset (i).</p
Comprehensive comparison between the algorithm proposed in this paper and other deep learning algori...
<p>Comparison of classification rates between the proposed method and other methods.</p
<p>Comparison of the average classification accuracies of different algorithms for different numbers...
<p>Comparison of our approach and counterpart algorithms in terms of running time (<i>s</i>).</p
<p>Comparison between traditional and proposed methods in three different databases.</p
<p>The comparison of computational efficiency of each algorithm on the test functions.</p
An overview of the result of the best-proposed algorithm and the best from the literature.</p
<p>Classification accuracy comparison of the proposed research with the state-of-the-art methods.</p
Comparison of the classification performance by the proposed network and other methods.</p
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