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AI-NN-PR list
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Annealing
Downloaded:0
Annealing algorithm for solving nonlinear equations, easy to use, high accuracy, fast convergence. Specifically refer to the source
Date
: 2025-08-21
Size
: 2kb
User
:
zhzhyan
embedded_kit_gateway
Downloaded:0
the code is for the communication of computer and the xbee network
Date
: 2025-08-21
Size
: 669kb
User
:
江涛
six_figures
Downloaded:0
extract six texture figures
Date
: 2025-08-21
Size
: 1kb
User
:
曾小贤
gatx-tools
Downloaded:0
This source code of the "Matlab genetic algorithm toolbox and its application,"
Date
: 2025-08-21
Size
: 1.33mb
User
:
zch
Artificial-Intelligence
Downloaded:0
Artificial Intelligence
Date
: 2025-08-21
Size
: 12.3mb
User
:
yueliying
gauss
Downloaded:0
checkprjr is the one of the most important software in world
Date
: 2025-08-21
Size
: 1kb
User
:
sujitmhj
N-GEN-(23)
Downloaded:0
The proposed approach is based on three stages which (1) use neural networks for constructing a response function model of a dynamic multiresponse system, (2) use exponential desirability functions for evaluating overall
Date
: 2025-08-21
Size
: 318kb
User
:
heddam salim
N-GEN-(22)
Downloaded:0
The proposed approach is based on three stages which (1) use neural networks for constructing a response function model of a dynamic multiresponse system, (2) use exponential desirability functions for evaluating overall
Date
: 2025-08-21
Size
: 351kb
User
:
heddam salim
N-GEN-(21)
Downloaded:0
The proposed approach is based on three stages which (1) use neural networks for constructing a response function model of a dynamic multiresponse system, (2) use exponential desirability functions for evaluating overall
Date
: 2025-08-21
Size
: 324kb
User
:
heddam salim
N-GEN-(20)
Downloaded:0
The proposed approach is based on three stages which (1) use neural networks for constructing a response function model of a dynamic multiresponse system, (2) use exponential desirability functions for evaluating overall
Date
: 2025-08-21
Size
: 351kb
User
:
heddam salim
N-GEN-(19)
Downloaded:0
The proposed approach is based on three stages which (1) use neural networks for constructing a response function model of a dynamic multiresponse system, (2) use exponential desirability functions for evaluating overall
Date
: 2025-08-21
Size
: 348kb
User
:
heddam salim
kMeansCode.tar
Downloaded:0
kmeans cluster
Date
: 2025-08-21
Size
: 14kb
User
:
zhz26826
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