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Backpropagation Artificial Neural Network in C++

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20 May 2008GPL38 min read 207.3K   10.2K   104  
This article demonstrates a backpropagation artificial neural network console application with validation and test sets for performance estimation using uneven distribution metrics.

#pragma once


class CTRACE
{

        FILE *fp;   //file handle

public:
        int m_status;

        CTRACE(wchar_t *name);
        ~CTRACE();

        void dump(float f);
        void dump(int d);
        void flush(void);
};

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This article, along with any associated source code and files, is licensed under The GNU General Public License (GPLv3)


Written By
Engineer
Russian Federation Russian Federation
Highly skilled Engineer with 14 years of experience in academia, R&D and commercial product development supporting full software life-cycle from idea to implementation and further support. During my academic career I was able to succeed in MIT Computers in Cardiology 2006 international challenge, as a R&D and SW engineer gain CodeProject MVP, find algorithmic solutions to quickly resolve tough customer problems to pass product requirements in tight deadlines. My key areas of expertise involve Object-Oriented
Analysis and Design OOAD, OOP, machine learning, natural language processing, face recognition, computer vision and image processing, wavelet analysis, digital signal processing in cardiology.

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