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@@ -30,9 +30,11 @@ | |
* The Fann Wrapper for C++ provides two classes: <neural_net> | ||
* and <training_data>. To use the wrapper include | ||
* doublefann.h, floatfann.h or fixedfann.h before the | ||
* fann_cpp.h header file. To get started see xor_sample.cpp | ||
* in the examples directory. The license is LGPL. Copyright (C) | ||
* 2004-2006 created by <[email protected]>. | ||
* fann_cpp.h header file. | ||
* | ||
* To get started see xor_sample.cpp in the examples directory. | ||
* The license is LGPL. Copyright (C) 2004-2006 created by <[email protected]>. | ||
* | ||
* | ||
* Note: Notes and differences from C API | ||
* | ||
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@@ -47,11 +49,10 @@ | |
* except that the struct fann *ann/struct fann_train_data *data | ||
* arguments are encapsulated so they are not present in the | ||
* method signatures or are translated into class references. | ||
* - The various create methods return a boolean set to true to | ||
* indicate that the neural network was created, false otherwise. | ||
* The same goes for the read_train_from_file method. | ||
* - C++ style constructors have been implemented to make network creation | ||
* easier | ||
* - The neural network and training data is automatically cleaned | ||
* up in the destructors and create/read methods. | ||
* up in the destructors | ||
* - To make the destructors virtual define USE_VIRTUAL_DESTRUCTOR | ||
* before including the header file. | ||
* - Additional methods are available on the training_data class to | ||
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