| wind speed extreme learning machine | 0.09 | 0.6 | 5651 | 35 | 6 |
| machine learning + wind energy | 1.5 | 0.6 | 4127 | 30 | 46 |
| extreme learning machine and its applications | 0.49 | 0.5 | 1097 | 45 | 67 |
| extreme learning machine algorithm | 1.26 | 1 | 7160 | 34 | 43 |
| wind energy prediction using machine learning | 0.34 | 1 | 2833 | 45 | 59 |
| wind power prediction with machine learning | 1.88 | 0.6 | 7912 | 43 | 53 |
| extreme learning machine survival | 1.87 | 0.8 | 7237 | 33 | 2 |
| a review on extreme learning machine | 1.07 | 0.6 | 8722 | 36 | 71 |
| extreme learning machine model | 0.42 | 1 | 5263 | 30 | 56 |
| wind power forecasting machine learning | 1.45 | 0.1 | 734 | 39 | 76 |
| weighted extreme learning machine | 1.91 | 0.3 | 3416 | 33 | 86 |
| extreme learning machine for prediction | 0.02 | 0.9 | 9448 | 39 | 14 |
| robust extreme learning machine | 0.33 | 1 | 4284 | 31 | 47 |
| extreme learning machine tutorial | 0.17 | 0.1 | 5221 | 33 | 75 |
| trends in extreme learning machines a review | 1.09 | 0.7 | 2529 | 44 | 27 |
| extreme learning machine elm | 0.74 | 1 | 5231 | 28 | 57 |
| deep extreme learning machine | 0.33 | 0.3 | 74 | 29 | 81 |
| evolutionary extreme learning machine | 1.39 | 0.3 | 1380 | 37 | 49 |
| extreme learning machine matlab | 0.24 | 0.7 | 5956 | 31 | 88 |
| fastest machine learning algorithms | 0.34 | 0.3 | 8827 | 35 | 20 |
| machine learning made efficient | 1.54 | 0.2 | 8883 | 31 | 78 |
| local extreme learning machines | 0.76 | 0.5 | 6117 | 31 | 64 |
