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auto-nng is a program for analysis and
classification of data, using artificial neuronal
networks. You can feed a number of datasets
consisting of certain input and output parameters
into the program to make it try to find a
mathematical correlation between the input and
output parameters. Afterwards, the program tries
to calculate the output parameters for datasets
which only have known input parameters.

System Requirements

System requirement is not defined
Information regarding Project Releases and Project Resources. Note that the information here is a quote from Freecode.com page, and the downloads themselves may not be hosted on OSDN.

2008-03-11 11:02
1.5

헤더를 포함에 대한 사소한 변경 사항을 몇 가지 플랫폼에서 컴파일러 경고를 방지합니다.
Minor changes in header inclusion to avoid compiler warnings on some platforms.

2008-03-09 22:57
1.4

돌연변이 비율은 매 체중, 돌연변이 그 무게를 어디에 돌연변이가 가장 성공적으로 감독이 될 수 있도록 구체적이다.
Tags: Minor feature enhancements
The mutation rate is now specific for every weight, allowing mutation to be directed to those weights where mutation was most successful.

2007-05-04 19:59
1.3

지속적인 입력 및 출력 값을 변환 함수 defuzzyfication 동안 작은 오류의 원인이 변경되었습니다.
Tags: Minor feature enhancements
The transformation function for continuous input and output values has been changed to cause a smaller error during defuzzyfication.

2007-05-01 18:49
1.2

지속적인 입력 및 출력 값을 변환 기능은 지금은 계속 differentiable입니다.
Tags: Minor feature enhancements
The transformation function for continuous input and output values is now continuously differentiable.

2007-04-29 07:10
1.1

버그는 GNU 아래의 프로그램을 종료에서 세그먼트 오류를 일으켰습니다 / 리눅스 해결되었습니다.
Tags: Minor bugfixes
A bug which caused a segmentation fault at program
termination under GNU/Linux was fixed.

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