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AI-NN-PR list
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monituihuopascal
Downloaded:0
simulated annealing, the theories, methods and steps of excellence with pascal procedures. Practical Classics
Date
: 2025-05-15
Size
: 17kb
User
:
戴玉婷
som_demo1
Downloaded:0
self organizing map, a kind of neural network
Date
: 2025-05-15
Size
: 3kb
User
:
yu
som_demo2
Downloaded:0
demo 2, a self organizing map, one kind of neural network
Date
: 2025-05-15
Size
: 5kb
User
:
yu
sdt3
Downloaded:0
vc This is a small development of pattern recognition procedures, we hope to help.
Date
: 2025-05-15
Size
: 15kb
User
:
sunjia
sdt4
Downloaded:0
vc This is a small development of pattern recognition procedures, we hope to help.
Date
: 2025-05-15
Size
: 216kb
User
:
sunjia
sdt5
Downloaded:0
vc This is a small development of pattern recognition procedures, we hope to help.
Date
: 2025-05-15
Size
: 53kb
User
:
sunjia
vcshen
Downloaded:0
neural network source code changes and some things work ,----
Date
: 2025-05-15
Size
: 3kb
User
:
AIhighway
Downloaded:0
highway intertwined level of the source, using MFC Visualization
Date
: 2025-05-15
Size
: 3.02mb
User
:
Zhao Yan
MLVQ
Downloaded:0
LVQ algorithm (Learning Vector Quantization. learning vector quantization network) is a model-based (neural network), To achieve this experiment are the LVQ improved clustering method-- Clustering (Yan Touche others made
Date
: 2025-05-15
Size
: 878kb
User
:
linvg
SimulatedAnnealing(TSP)CSHARP
Downloaded:0
use c# language simulated annealing, while using the algorithm to solve traveling salesman (TSP). access to the serial numbers of all the cities traverse the optimal path.
Date
: 2025-05-15
Size
: 128kb
User
:
linvg
KNN(CSHARP)
Downloaded:0
based learning Bayesian-KNN text classification algorithm design and implementation given several types of the original text file, machine learning, access to all types of text that the key features On this basis, the cl
Date
: 2025-05-15
Size
: 1.09mb
User
:
linvg
apriori(C++)
Downloaded:0
the algorithm is the basic functions using C++ language of APRIORI algorithm, Users may choose to conduct the operation. Then import support and confidence, could be the result of excavation. Output of the two main parts
Date
: 2025-05-15
Size
: 104kb
User
:
linvg
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.09
.10
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2614
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2831
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