Some examples and use cases from the internet:

Some examples and use cases from the internet:

• weights in a way that the networks output matches the desired output pattern. Whereas the ESN proposed by Jaeger (see e.g. [1]) is a discrete time, nonlinear,  ...
• Sep 8, 2014 ... ... weights are taken where is a component of the input and a component of the desired output pattern. A recurrent network can be constructed, ...
• Learning rules incorporating an error reduction procedure utilize the discrepancy between the desired output pattern and an actual output pattern to change ...
• output units represent the desired output pattern. Neural networks learn from examples (input/output pairs) which are presented many times, and a typical ...

• the desired output vector is identical with the input vector (see Fig. 1). The purpose of an encoder network is to learn good "codes" in the intermediate, hidden ...
• ward networks, where the desired output vector is identical with the input vector. For backpropagation, we are able to use powerful simulators running on parallel  ...
• ify the desired output vector, reinforcement procedures which only require a single scalar evaluation of the good
• Apr 8, 2012 ... ... added, its incoming connection weight vector is set to the input vector is, and its outgoing weight vector is set to the desired output vector O d .
• ness of the output, and unsupervised or self — ...