The extreme learning machine is a neural network model in the field of machine learning, which can be used to solve single hidden layer feedforward neural networks.

Unlike traditional feedforward neural networks (such as BP neural networks) that require a large number of training parameters to be set manually, the hyperlearning algorithm only needs to set the network structure without setting other parameters, so it is simple and easy to use. Because the weights from the input layer to the hidden layer are randomly determined once, there is no need to adjust them again during the execution of the algorithm, and the weights from the hidden layer to the output layer only need to solve a linear equation system, so the calculation speed can be greatly improved.

References

【1】Extreme learning machine (Wikipedia)