- Easy starter for starters in Perceptron neural networks in C for embedded systems, the smaller controllers.
- Concept of Cneurons is to train in Python and implement in embedded C.
- Using Cneurons is by copying an example, currently one, from the example directory. Then, run the python script, next, run the C application. The Python example exports the perceptron parameters as a result of the training into corresponding files for the C application.
- Extend the example to your needs.
First a philosophic note, if you don't want that, scroll down to the example(s).
The highest form of intelligence is to apply the scientific method, below that is artificial intelligence. Artificial intelligence was developed through the scientific method. The preferable method to solve a technological problem is, therefore, the scientific method.
The scientific method generates a mathematically description of a behavior. Artificial intelligence assumes a mathematical relation between inputs and outputs according the way you teach it. So, a neural network cannot be more powerful than the mind by which it was trained. There is no doubt, there are very powerful neural networks and concepts of artificial intelligence, even more powerful than my mind.
Important to know when dealing with neural networks is the following:
Two equations that share more than two unknown variables, cannot be solved. Also not by a neural network.
Or:
Two equations that share more than two unknown variables, can be solved, however, having multiple solutions. Also in a neural network.
It is very likely that you train a network by the latter concept due to suffering an overview on the data.
Example: Strings and organ
Demonstrates a workflow for detecting sound using autocorrelation, in this case, strings in E from cathedral organ in A recorded in Garageband.