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  1. N-GEN-(19)

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  2. 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 performance of a specific
  3. 所属分类:AI-NN-PR

    • 发布日期:2017-04-24
    • 文件大小:347.89kb
    • 提供者:heddam salim
  1. kMeansCode.tar

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  2. kmeans聚类方法优化,两篇paper-kmeans cluster
  3. 所属分类:AI-NN-PR

    • 发布日期:2017-04-08
    • 文件大小:14.08kb
    • 提供者:zhz26826
  1. N-GEN-(17)

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  2. 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 performance of a specific
  3. 所属分类:AI-NN-PR

    • 发布日期:2017-04-07
    • 文件大小:250.98kb
    • 提供者:heddam salim
  1. N-GEN-(13)

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  2. 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 performance of a specific
  3. 所属分类:AI-NN-PR

    • 发布日期:2017-04-24
    • 文件大小:232.42kb
    • 提供者:heddam salim
  1. N-GEN-(12)

    0下载:
  2. 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 performance of a specific
  3. 所属分类:AI-NN-PR

    • 发布日期:2017-04-24
    • 文件大小:272.52kb
    • 提供者:heddam salim
  1. N-GEN-(11)

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  2. 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 performance of a specific
  3. 所属分类:AI-NN-PR

    • 发布日期:2017-04-24
    • 文件大小:272.33kb
    • 提供者:heddam salim
  1. N-GEN-(10)

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  2. 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 performance of a specific
  3. 所属分类:AI-NN-PR

    • 发布日期:2017-04-16
    • 文件大小:238.94kb
    • 提供者:heddam salim
  1. N-GEN-(9)

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  2. 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 performance of a specific
  3. 所属分类:AI-NN-PR

    • 发布日期:2017-04-17
    • 文件大小:353.1kb
    • 提供者:heddam salim
  1. N-GEN-(8)

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  2. 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 performance of a specific
  3. 所属分类:AI-NN-PR

    • 发布日期:2017-04-16
    • 文件大小:336.1kb
    • 提供者:heddam salim
  1. N-GEN-(7)

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  2. 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 performance of a specific
  3. 所属分类:AI-NN-PR

    • 发布日期:2017-04-26
    • 文件大小:341.42kb
    • 提供者:heddam salim
  1. N-GEN-(6)

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  2. 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 performance of a specific
  3. 所属分类:AI-NN-PR

    • 发布日期:2017-04-06
    • 文件大小:207.89kb
    • 提供者:heddam salim
  1. N-GEN-(5)

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  2. 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 performance of a specific
  3. 所属分类:AI-NN-PR

    • 发布日期:2017-04-25
    • 文件大小:288.58kb
    • 提供者:heddam salim
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