nn_base.h header file
This file declares all the elements needed to create and use generic (acyclic, non-recurrent) neural networks.
Classes:
class Weight: public Link- a weight in a neural network: it can calculate its output and the partial derivative of the network with respect to itself (using BP)
class Neuron: public Node- a neuron: holds the couple (activation function, derivative) and implements BP
class InputTerminal: public Neuron- an input terminal is a neuron without incoming links: it has a value of its own, and is used to feed input into neurla networks
class NeuralNet: public Graph- this holds neurons and weights, with methods to set the input and retrieve the output
class NeuronInserter- helper class to load neurons from a stream: inserts them into a set and a vector
class ITInserter- helper class to load input terminals from a stream: inserts them into a set and a vector
Functions:
- Function Streaming
registerFun()- associates a function with a name, so as to assign to each function a representation invariant between runs of the program
getFun()- returns the function pointer associated with the given name
getName()- returns the name associated with the given function pointer
registerDefault()- performs the predefined associations between to functions below and their names
- Standard Activation Functions
id()- identity function (used for input terminals)
one()- costant 1 function (derivative of the above)
sigmoid()- sigmoid function (asymmetric)
dsigmoid()- derivative of the above