Backpropagation Artificial Neural Network in C++

Chesnokov Yuriy

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20 May 2008GPL38 min read

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This article demonstrates a backpropagation artificial neural network console application with validation and test sets for performance estimation using uneven distribution metrics.

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Compare	Revision	Minor	Date	Status	Editor
	1 - publicly available	No	20-May-08 4:53	Available	Smitha Nishant

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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

Chesnokov Yuriy

Engineer

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.

Backpropagation Artificial Neural Network in C++

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