C++ Neural Networks and Fuzzy Logic: Preface

Nontraining Mode (Test Mode)

In this mode, the user provides test data to the simulator in a file called test.dat. This file contains only input

patterns. When this file is applied to an already trained network, an output.dat file is generated, which

contains the outputs from the network for all of the input patterns. The network goes through one cycle of

operation in this mode, covering all the patterns in the test data file. To start up the network, the weights file,

weights.dat is read to initialize the state of the network. The user must provide the same network size

parameters used to train the network.

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C++ Neural Networks and Fuzzy Logic:Preface

C++ Implementation of a Backpropagation Simulator

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