Comparison of SVM and ANFIS for Snore Related Sounds Classification by Using the Largest Lyapunov Exponent 
and Entropy

<table>Three reconstructed SRSs’ segment attractors with <svg height="11.125" id="M93" style="vertical-align:-0.1638pt" version="1.1" viewbox="0 0 41.112499 11.125" width="41.112499" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink">
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</svg> and <svg height="11.825" id="M94" style="vertical-align:-0.1638pt" version="1.1" viewbox="0 0 66.662498 11.825" width="66.662498" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink">
<g transform="matrix(.017,-0,0,-.017,.062,11.55)"><path d="M649 676l-22 -187l-33 -2q3 56 -12 94q-8 20 -31.5 26.5t-86.5 6.5h-74l-90 -491q-4 -23 -6 -36.5t1 -25t7 -16.5t18 -9t27 -5t41 -3l-6 -28h-286l4 28q68 5 84 18.5t28 76.5l94 491h-55q-74 0 -100.5 -6t-41.5 -23q-24 -29 -54 -98l-32 1q32 98 53 188h22q7 -18 15 -22
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</svg>: (a) snore, (b) breathing, and (c) silent segment attractors.</table>

Computational and Mathematical Methods in Medicine

fig3

Figure 3

Figure 3: Comparison of SVM and ANFIS for Snore Related Sounds Classification by Using the Largest Lyapunov Exponent 
and Entropy 

Computational and Mathematical Methods in Medicine

Comparison of SVM and ANFIS for Snore Related Sounds Classification by Using the Largest Lyapunov Exponent and Entropy

Figure 3