MFNNMultilayer Feedforward Neural Networks
MFNNMinnesota Food and Nutrition Network (St. Paul, MN)
References in periodicals archive ?
The backpropagation learning algorithm is the most widely used training process for MFNN with differentiable activation functions today.
3 and 4 is the corresponding learning rate parameter, which is an important design factor of an MFNN.
In traditional MFNN applications, a network topology is chosen for a requested mapping before the training begins.