Robotsystem of the Robot Group Leipzig: FeedForwardNN Class Reference

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# FeedForwardNN Class Reference

abstract class (interface) for feed forward rate based neural networks More...

`#include <feedforwardnn.h>`

List of all members.

## Public Member Functions
| FeedForwardNN ()
virtual | ~FeedForwardNN ()
virtual void | damp (double damping)=0
| damps the weights and the biases by multiplying (1-damping)
## Static Public Member Functions
static double | linear (double x)
static double | dlinear (double)
static double | tanh (double x)
static double | dtanh (double x)
static double | sigmoid (double x)
static double | dsigmoid (double x)

## Detailed Description

abstract class (interface) for feed forward rate based neural networks

## Constructor & Destructor Documentation

FeedForwardNN | ( |  | ) | `[inline]`

virtual ~FeedForwardNN | ( |  | ) | `[inline, virtual]`

## Member Function Documentation

virtual void damp | ( | double | damping | ) | `[pure virtual]`

damps the weights and the biases by multiplying (1-damping)

static double dlinear | ( | double |  | ) | `[inline, static]`

static double dsigmoid | ( | double | x | ) | `[inline, static]`

static double dtanh | ( | double | x | ) | `[inline, static]`

static double linear | ( | double | x | ) | `[inline, static]`

static double sigmoid | ( | double | x | ) | `[inline, static]`

static double tanh | ( | double | x | ) | `[inline, static]`

The documentation for this class was generated from the following file:

- feedforwardnn.h