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A very simple and intuitive neural network implementation

version 1.0.0.0 (9.02 KB) by Carl Löndahl
Short code and easy to understand. Example data set provided.

47 Downloads

Updated 05 Nov 2008

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Short code and easy to understand. Example data set provided.

Cite As

Carl Löndahl (2021). A very simple and intuitive neural network implementation (https://www.mathworks.com/matlabcentral/fileexchange/22010-a-very-simple-and-intuitive-neural-network-implementation), MATLAB Central File Exchange. Retrieved .

Comments and Ratings (30)

Mohammed Ouallal

Agree with Gabriela Miranda

Serge Potemkin

Gilberto Mourão

JIm Li

Gabriela Miranda

It needs more information to be clear

Tania Pereira

E

abcdef

Rolysent Paredes

Hi. Do you think you can help me with a Neural Network approach on Generalized Singular Value Decomposition? Thanks

damanpreet kaur

deepak singh

thanks that was helpful

Danish Kaleem

dao tung

dao tung

Faceless

This code on CodeForge.com may be of helpful: http://www.codeforge.com/article/243042

Eve

Adam Walsh

Joanie Martineau

Tin Phan

Could you explain to me how n and the function f is chosen? And also the bias too?
Any reference would be much appreciated!

Dang Manh Truong

It seems that your code does not account account for the bias. In a book I read they say you should include an input variable which is clamped to 1. Can you please clarify on that? Thank you very much

Steve Johnson

Mari Ganesh Kumar M

José Araujo

Muhammad Khalid

Jacek

Can you please give a short description of this problem being solved and meaning of this example data? So we could understand what is the input, what is the output, what are the values od "y" being calculated...? And most importantly, what is the topology, and how propagation works.

Omer

instead of rms error. How can I optimize this error:
( fp/(fp+tn) ) + ( fn/(fn+tp) );

sorry i don't have any access to this file,could you pl help me in this way?
thanks

Lyuboslav Petrov

Helpful,
Cheers

Milinda

Thanks

Abdel-Razzak

thanks

MATLAB Release Compatibility
Created with R13
Compatible with any release
Platform Compatibility
Windows macOS Linux

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