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AI-NN-PR list
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svm.pro
Downloaded:0
matlab on a section of support vector machines svm forecasting process, he felt very good
Date
: 2025-07-23
Size
: 1kb
User
:
EliminateGrossErrors
Downloaded:0
Removal of gross errors, a good variety of error analysis and filtering procedures
Date
: 2025-07-23
Size
: 1kb
User
:
kalman
Downloaded:0
\ Kalman prediction and errors related to procedures, to promote new users
Date
: 2025-07-23
Size
: 1kb
User
:
test3_5
Downloaded:0
Jacobi equations solution iteration, which describes the convergence conditions for iterative methods
Date
: 2025-07-23
Size
: 2kb
User
:
zhoulei
work
Downloaded:0
Neural network and genetic algorithm to find about the value of the program, you can run
Date
: 2025-07-23
Size
: 288kb
User
:
李战斌
nature-ecs-machine-learning.ps
Downloaded:0
pattern recognition algorithm and implementation
Date
: 2025-07-23
Size
: 122kb
User
:
will
ls-svm1
Downloaded:0
Neural network toolbox for matlab7.1 least squares support vector machine procedure.
Date
: 2025-07-23
Size
: 13kb
User
:
李莫言
0408
Downloaded:1
vb rbf fault diagnosis software program, created their own,
Date
: 2025-07-23
Size
: 2kb
User
:
方玉良
JSvmLib
Downloaded:0
The SMO support vector machine SVM algorithm java implementation
Date
: 2025-07-23
Size
: 25kb
User
:
Shaoming Wang
C_bp
Downloaded:0
BP (Back Propagation) network in 1986 by Rumelhart and McCelland led team of scientists proposed an algorithm by error back propagation trained multilayer feedforward network, is currently the most widely used one neural
Date
: 2025-07-23
Size
: 2kb
User
:
陈财雄
Matlab_bp
Downloaded:0
BP (Back Propagation) network in 1986 by Rumelhart and McCelland led team of scientists proposed an algorithm by error back propagation trained multilayer feedforward network, is currently the most widely used one neural
Date
: 2025-07-23
Size
: 1kb
User
:
陈财雄
Fortran_bp
Downloaded:0
BP (Back Propagation) network in 1986 by Rumelhart and McCelland led team of scientists proposed an algorithm by error back propagation trained multilayer feedforward network, is currently the most widely used one neural
Date
: 2025-07-23
Size
: 2kb
User
:
陈财雄
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