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AI-NN-PR list
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code
Downloaded:0
This course describes the AI techniques necessary for an agent to act intelligently in the ``real world. Techniques include natural language processing, uncertainty reasoning, learning, vision and speech processing. Basi
Date
: 2025-09-10
Size
: 337kb
User
:
elven
1010280956fe8fe2fe0827f49e
Downloaded:0
Based on neural network prediction of chaotic time series, including step and multi-step prediction algorithm
Date
: 2025-09-10
Size
: 3kb
User
:
ouyangyuhao
abbr
Downloaded:0
This procedure is based on chaos theory and ELMAN neural network short-term load forecast
Date
: 2025-09-10
Size
: 2kb
User
:
ouyangyuhao
ccnn
Downloaded:0
Chaos theory chaos theory of cellular neural network program cellular neural network program
Date
: 2025-09-10
Size
: 1kb
User
:
ouyangyuhao
Fuzzy-control-in-car-mode
Downloaded:1
Example:Fuzzy control in car mode
Date
: 2025-09-10
Size
: 29kb
User
:
wuxuan
NN-Example
Downloaded:0
NN Example
Date
: 2025-09-10
Size
: 42kb
User
:
wuxuan
Model-predictive-control
Downloaded:0
Model predictive control
Date
: 2025-09-10
Size
: 17kb
User
:
wuxuan
GeneticNonlinearMatlab
Downloaded:0
Global search ability of genetic algorithms, local search capability is weak, generally only be able to search a sub-optimal solution to the function optimization problem, rather than the optimal solution, especially the
Date
: 2025-09-10
Size
: 43kb
User
:
乐乐
libsvm
Downloaded:0
the svm introduction and use of libsvm documentation
Date
: 2025-09-10
Size
: 565kb
User
:
liujingwen
decision-tree
Downloaded:0
Incremental learning algorithm based on decision tree document, mainly for text classification
Date
: 2025-09-10
Size
: 1.06mb
User
:
liujingwen
KNN
Downloaded:0
KNN-based incremental learning algorithm related documentation, mainly for text classification
Date
: 2025-09-10
Size
: 6.77mb
User
:
liujingwen
neural-network
Downloaded:0
Literature incremental learning algorithms based on neural networks, mainly for text classification
Date
: 2025-09-10
Size
: 5.9mb
User
:
liujingwen
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.73
.74
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.76
.77
978
.79
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.82
.83
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2831
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