Prediction of Inelastic Response Spectra Using Artificial Neural Networks

<table>Moment magnitude and <svg height="18.275" id="M42" style="vertical-align:-4.8526pt" version="1.1" viewbox="0 0 21.0875 18.275" width="21.0875" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink">
<g transform="matrix(.017,0,0,-.017,.062,12.163)"><path d="M530 686q-79 -330 -126 -595q-5 -24 4 -24q22 0 77 53l16 -24q-42 -49 -88 -78.5t-72 -29.5q-37 0 -19 83l21 99h-2q-62 -83 -153 -141q-65 -41 -97 -41q-28 0 -48 31.5t-20 91.5q0 71 32.5 144t88.5 118q36 30 94 52.5t94 22.5q38 0 68 -13l29 158q7 40 2 47.5t-38 7.5
h-35l1 26q39 4 76 13.5t58.5 17t27.5 7.5q16 0 9 -26zM387 375q-11 11 -38.5 20t-51.5 9q-45 0 -79 -23q-46 -32 -77.5 -107.5t-31.5 -143.5q0 -40 9.5 -58.5t23.5 -18.5q40 0 113.5 70t99.5 118z" id="x1D451"></path></g>
<g transform="matrix(.012,0,0,-.012,9.5,16.25)"><path d="M303 650v-28q-58 -5 -71.5 -19.5t-13.5 -77.5v-373q0 -99 -18.5 -156.5t-67.5 -102.5q-49 -44 -93 -58l-12 29q78 38 96 130q10 60 10 191v340q0 63 -14 77.5t-75 19.5v28h259z" id="x4A"></path></g><g transform="matrix(.012,0,0,-.012,13.415,16.25)"><path d="M372 352v-2q176 -27 176 -159q0 -99 -95 -151q-73 -40 -196 -40h-221v28q65 5 78.5 19t13.5 76v404q0 63 -12 77t-72 18v28h257q102 0 150 -34q26 -18 41 -48.5t15 -65.5q0 -111 -135 -150zM213 362h47q80 0 117.5 32t37.5 96q0 56 -33 92t-100 36q-41 0 -56 -10
q-13 -8 -13 -50v-196zM213 328v-203q0 -54 17 -72.5t66 -18.5q67 1 110.5 37t43.5 110q0 147 -192 147h-45z" id="x42"></path></g>
</svg> distance distribution for the selected 50 records taken from the NGA database. </table>

Mathematical Problems in Engineering

fig4

Figure 4

Figure 4: Prediction of Inelastic Response Spectra Using Artificial Neural Networks 