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Artificial Neural Networks made easy with the FANN library

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28 Aug 2013CPOL24 min read 194.1K   10.6K   206  
Neural networks are typically associated with specialised applications, developed only by select groups of experts. This misconception has had a highly negative effect on its popularity. Hopefully, the FANN library will help fill this gap.
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>Chapter 5. API Reference</H1
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>This is a list of all functions and structures in FANN.</P
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>fann_create</A
>&nbsp;--&nbsp;Create a new artificial neural network, and return a pointer to it.</DT
><DT
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>fann_create_array</A
>&nbsp;--&nbsp;Create a new artificial neural network, and return a pointer to it.</DT
><DT
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>fann_create_shortcut</A
>&nbsp;--&nbsp;Create a new artificial neural network with shortcut connections, and return a pointer to it.</DT
><DT
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>fann_create_shortcut_array</A
>&nbsp;--&nbsp;Create a new artificial neural network with shortcut connections, and return a pointer to it.</DT
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>fann_destroy</A
>&nbsp;--&nbsp;Destroy an ANN.</DT
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>fann_run</A
>&nbsp;--&nbsp;Run (execute) an ANN.</DT
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>fann_randomize_weights</A
>&nbsp;--&nbsp;Give each connection a random weight.</DT
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>fann_init_weights</A
>&nbsp;--&nbsp;Initialize the weight of each connection.</DT
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>fann_print_connections</A
>&nbsp;--&nbsp;Prints the connections of an ann.</DT
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