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Table 2 Execution time of test examples with different parameters

From: A novel improved extreme learning machine algorithm in solving ordinary differential equations by Legendre neural network methods

Example m = 100 n = 10
n = 5 n = 8 n = 10 m = 50 m = 200 m = 500
Example 1 0.0068 0.0073 0.0073 0.0073 0.0073 0.0077
Example 2 0.0057 0.0059 0.0065 0.0063 0.0063 0.0064
Example 3 0.0056 0.0059 0.0061 0.0060 0.0062 0.0068
Example 4 0.0037 0.0040 0.0040 0.0041 0.0042 0.0048
Example 5 0.0060 0.0063 0.0066 0.0063 0.0064 0.0071
Example 6 0.0056 0.0063 0.0062 0.0062 0.0061 0.0067
Example 7 0.0058 0.0059 0.0062 0.0060 0.0063 0.0067
Example 8 0.0057 0.0060 0.0061 0.0060 0.0062 0.0075
Example 9 0.0120 0.0121 0.0121 0.0122 0.0124 0.0132
Example 10 0.0118 0.0112 0.0114 0.0113 0.0117 0.0123
Example 11 0.0025 0.0030 0.0037 0.0033 0.0049 0.0082