|
The discovery of these problems stopped the wave of research of the neural network. People, who worked with
artificial intelligence by the means of conventional programming, sorted out the problems in the network and
soon the interest in the neural network collapsed. Only a few incarnated scientists continued the research.
Unfortunately, with fewer financial funds.
The research of the neural network went on slowly, and as the computers became more powerful, the neural
networks could solve more problems than before. A problem with training hidden neurons was efficiently
solved with the introduction of the back propagation algorithm. This algorithm, introduced by Paul Werbos in
1974, gave a neuron permission to let its errors propagate back to former layers of the network. With this
form of training, it was possible to solve larger problems. At the same time neural networks became an
industrial interest.
|