Neural Net

Implementation of a neural network in C++.

Authors

Leonn Paiva	 <master>

USAGE

No empty lines on Training & test files

- Training Only
	`./neuralNet <Training Data File> <minimum error> <max epochs> <Data Output File> <Global Data Output File>`
- Training & Test
	`./neuralNet <Training Data File> <minimum error> <max epochs> <Data Output File> <Global Data Output File> -t <Test Data Output File>`
- Training & Test from File
	`./neuralNet <Training Data File> <minimum error> <max epochs> <Data Output File> <Global Data Output File> -tf <Test Data Input File> <Test Data Output File>`
- Generating Trainig data  (XOR) in data/xor
	`./data/xor/xor "number of inputs for training" > "Training Data File"`
- Result test analysis
	`./data/test_analysis/test_analysis <Test Data Output File>`

TODO

• Sigmoid transfer function
• Gaussian transfer function
• Pendigits test
• Export network weights
• Import network weights
• Result test analysis

Changelog:

- 0.1 -
	- First version
- 0.2 -
	- simple implamentation done
- 0.3 -
	- support for training data files
- 0.4 -
	- improvement on algorithm
- 0.5 -
	- ...

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