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Tweaked readme.

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Lewis Van Winkle
2016-02-09 19:16:18 -06:00
parent b6da170fa7
commit f44be25c8b
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README.md
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@@ -33,6 +33,9 @@ ask it to predict on a test data point, and then free it:
```C ```C
#include "genann.h" #include "genann.h"
/* Not shown, loading your training and test data. */
double **training_data_input, **training_data_output, **test_data_input;
/* New network with 5 inputs, /* New network with 5 inputs,
* 2 hidden layer of 10 neurons each, * 2 hidden layer of 10 neurons each,
* and 1 output. */ * and 1 output. */
@@ -86,7 +89,7 @@ backpropogation.
A primary design goal of GENANN was to store all the network weights in one A primary design goal of GENANN was to store all the network weights in one
contigious block of memory. This makes it easy and efficient to train the contigious block of memory. This makes it easy and efficient to train the
network weights directly using direct-search numeric optimizion algorthims, network weights using direct-search numeric optimizion algorthims,
such as [Hill Climbing](https://en.wikipedia.org/wiki/Hill_climbing), such as [Hill Climbing](https://en.wikipedia.org/wiki/Hill_climbing),
[the Genetic Algorithm](https://en.wikipedia.org/wiki/Genetic_algorithm), [Simulated [the Genetic Algorithm](https://en.wikipedia.org/wiki/Genetic_algorithm), [Simulated
Annealing](https://en.wikipedia.org/wiki/Simulated_annealing), etc. Annealing](https://en.wikipedia.org/wiki/Simulated_annealing), etc.