An easy-to-learn machine learning algorithm--Limit Learning machine (ELM)

The concept of extreme learning machine

Elm is a new fast learning algorithm, for TOW layer neural network, elm can randomly initialize input weights and biases and get corresponding output weights.

For a single-hidden-layer neural network, suppose there are n arbitrary samples, where

。 For a single hidden layer neural network with a hidden layer node, it can be expressed as

Where, for the activation function, the input weight, for the output weight, is the bias of the first hidden layer unit.

The learning goal of the TOW layer neural network is to minimize the error of the output, which can be expressed as

That exists, and that makes

Can be expressed as a matrix
。

Among them, is the output of the hidden layer node, for the output weight, for the desired output.

，

An easy-to-learn machine learning algorithm--Limit Learning machine (ELM)