aureservoir::InitStd< T > Class Template Reference

#include <init.h>

Inheritance diagram for aureservoir::InitStd< T >:

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Collaboration diagram for aureservoir::InitStd< T >:

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Detailed Description

template<typename T>
class aureservoir::InitStd< T >

Initializes all matrices with normal distributed random values in a specific connectivity. Then it scales the weight matrix with the help of the largest eigenvalue to the spectral radius alpha.

Public Member Functions
	InitStd (ESN< T > *esn)
virtual	~InitStd ()
class InitStd Implementation
virtual void	init () throw (AUExcept)
Protected Member Functions
class InitBase Implementation
virtual void	checkInitParams () throw (AUExcept)
virtual void	allocateWorkData ()
Protected Attributes
ESN< T > *	esn_

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Constructor & Destructor Documentation

template<typename T>

aureservoir::InitStd< T >::InitStd

(

ESN< T > *

esn

)

[inline]

template<typename T>

virtual aureservoir::InitStd< T >::~InitStd

(

)

[inline, virtual]

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Member Function Documentation

template<typename T>

void aureservoir::InitStd< T >::init

(

)

throw (AUExcept) [inline, virtual]

the algorithm

Implements aureservoir::InitBase< T >.

template<typename T>

void aureservoir::InitBase< T >::checkInitParams

(

)

throw (AUExcept) [inline, protected, virtual, inherited]

checks if the init parameters have the right values

template<typename T>

void aureservoir::InitBase< T >::allocateWorkData

(

)

[inline, protected, virtual, inherited]

allocates working data for algorithms

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Field Documentation

template<typename T>

ESN<T>* aureservoir::InitBase< T >::esn_ [protected, inherited]

reference to the data of the network

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

• init.h
• init.hpp

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