Bug #43626 for AI-NNEasy: Some spelling mistakes in pod documentation

Hi. I found some english problems in the AI::NNEasy documentation. Attached is a patch that improves things a little.

diff -urN AI-NNEasy-0.06.orig/lib/AI/NNEasy.pm AI-NNEasy-0.06/lib/AI/NNEasy.pm --- AI-NNEasy-0.06.orig/lib/AI/NNEasy.pm 2009-02-25 17:17:00.000000000 +0000 +++ AI-NNEasy-0.06/lib/AI/NNEasy.pm 2009-02-25 17:18:16.000000000 +0000 @@ -534,9 +534,9 @@ in the learning process. Finally I have added an intuitive inteface to create and use the NN, and added a winner algorithm to the output. -I have writed this module because after test different NN module on Perl I can't find +I have written this module because after test different NN module on Perl I can't find one that is portable through Linux and Windows, easy to use and the most important, -one that really works in a reall problem. +one that really works in a real problem. With this module you don't need to learn much about NN to be able to construct one, you just define the construction of the NN, learn your set of inputs, and use it. @@ -864,7 +864,7 @@ you need to have a number of nodes/neuros in the hidden layer that can give the right output for your problem. -Other inportant step of a NN is the learning fase. Where we get a set of inputs +Other inportant step of a NN is the learning phase. Where we get a set of inputs and paste them through the NN until we have the right output. This process basically will adjust the nodes I<weights> until we have an output near the real output that we want. @@ -877,8 +877,8 @@ 1 0.5 => 0 1 1 => 1 -But what is really recomended is to always use bollean values, just 0 or 1, for inputs and outputs, -since the learning fase will be faster and works better for complex problems. +But what is really recomended is to always use boolean values, just 0 or 1, for inputs and outputs, +since the learning phase will be faster and works better for complex problems. =head1 SEE ALSO