登录
首页 » matlab » Kaggle-Nomad2018-master

Kaggle-Nomad2018-master

于 2020-03-11 发布
0 162
下载积分: 1 下载次数: 4

代码说明:

说明:  毕业设计之跳频通信系统的设计与仿真。努力学习noma技术,顺利毕业。(Frequency hopping communication system)

文件列表:

Kaggle-Nomad2018-master, 0 , 2018-03-12
Kaggle-Nomad2018-master\.gitattributes, 66 , 2018-03-12
Kaggle-Nomad2018-master\NOMAD, 0 , 2018-03-12
Kaggle-Nomad2018-master\NOMAD\.ipynb_checkpoints, 0 , 2018-03-12
Kaggle-Nomad2018-master\NOMAD\.ipynb_checkpoints\504notebook-checkpoint.ipynb, 15146 , 2018-03-12
Kaggle-Nomad2018-master\NOMAD\.ipynb_checkpoints\DMLP-checkpoint.ipynb, 22418 , 2018-03-12
Kaggle-Nomad2018-master\NOMAD\.ipynb_checkpoints\catmodel-checkpoint.ipynb, 7097 , 2018-03-12
Kaggle-Nomad2018-master\NOMAD\.ipynb_checkpoints\cvmodel_set-checkpoint.ipynb, 4840 , 2018-03-12
Kaggle-Nomad2018-master\NOMAD\.ipynb_checkpoints\dnn_keras-checkpoint.ipynb, 11284 , 2018-03-12
Kaggle-Nomad2018-master\NOMAD\.ipynb_checkpoints\dnn_keras_f-checkpoint.ipynb, 389362 , 2018-03-12
Kaggle-Nomad2018-master\NOMAD\.ipynb_checkpoints\feature_engineer-checkpoint.ipynb, 12281 , 2018-03-12
Kaggle-Nomad2018-master\NOMAD\.ipynb_checkpoints\k_neural_feat-checkpoint.ipynb, 6241 , 2018-03-12
Kaggle-Nomad2018-master\NOMAD\.ipynb_checkpoints\lightmodel-checkpoint.ipynb, 14382 , 2018-03-12
Kaggle-Nomad2018-master\NOMAD\.ipynb_checkpoints\mean_script-checkpoint.ipynb, 5816 , 2018-03-12
Kaggle-Nomad2018-master\NOMAD\.ipynb_checkpoints\model-checkpoint.ipynb, 26510 , 2018-03-12
Kaggle-Nomad2018-master\NOMAD\.ipynb_checkpoints\model_skopt-checkpoint.ipynb, 6201 , 2018-03-12
Kaggle-Nomad2018-master\NOMAD\.ipynb_checkpoints\nomad-checkpoint.ipynb, 11207 , 2018-03-12
Kaggle-Nomad2018-master\NOMAD\.ipynb_checkpoints\stack-checkpoint.ipynb, 6008 , 2018-03-12
Kaggle-Nomad2018-master\NOMAD\.ipynb_checkpoints\xgmodel-checkpoint.ipynb, 7911 , 2018-03-12
Kaggle-Nomad2018-master\NOMAD\10kgbt.csv, 25328 , 2018-03-12
Kaggle-Nomad2018-master\NOMAD\DMLP.ipynb, 22418 , 2018-03-12
Kaggle-Nomad2018-master\NOMAD\NUTILS.py, 3369 , 2018-03-12
Kaggle-Nomad2018-master\NOMAD\__pycache__, 0 , 2018-03-12
Kaggle-Nomad2018-master\NOMAD\__pycache__\NUTILS.cpython-36.pyc, 3735 , 2018-03-12
Kaggle-Nomad2018-master\NOMAD\best, 0 , 2018-03-12
Kaggle-Nomad2018-master\NOMAD\best\.ipynb_checkpoints, 0 , 2018-03-12
Kaggle-Nomad2018-master\NOMAD\best\.ipynb_checkpoints\dnn_keras_f-checkpoint.ipynb, 10527 , 2018-03-12
Kaggle-Nomad2018-master\NOMAD\best\dnn_keras_f.ipynb, 10527 , 2018-03-12
Kaggle-Nomad2018-master\NOMAD\best\k_dnn_12.csv, 14828 , 2018-03-12
Kaggle-Nomad2018-master\NOMAD\best\k_model0473_1.h5, 14687432 , 2018-03-12
Kaggle-Nomad2018-master\NOMAD\catmodel.ipynb, 7097 , 2018-03-12
Kaggle-Nomad2018-master\NOMAD\checkpoint, 95 , 2018-03-12
Kaggle-Nomad2018-master\NOMAD\corr_script.py, 1421 , 2018-03-12
Kaggle-Nomad2018-master\NOMAD\cvmodel_set.ipynb, 4840 , 2018-03-12
Kaggle-Nomad2018-master\NOMAD\data, 0 , 2018-03-12
Kaggle-Nomad2018-master\NOMAD\data\elemental-properties, 0 , 2018-03-12
Kaggle-Nomad2018-master\NOMAD\data\elemental-properties\EA.csv, 47 , 2018-03-12
Kaggle-Nomad2018-master\NOMAD\data\elemental-properties\HOMO.csv, 37 , 2018-03-12
Kaggle-Nomad2018-master\NOMAD\data\elemental-properties\IP.csv, 46 , 2018-03-12
Kaggle-Nomad2018-master\NOMAD\data\elemental-properties\LUMO.csv, 40 , 2018-03-12
Kaggle-Nomad2018-master\NOMAD\data\elemental-properties\electronegativity.csv, 809 , 2018-03-12
Kaggle-Nomad2018-master\NOMAD\data\elemental-properties\mass.csv, 1134 , 2018-03-12
Kaggle-Nomad2018-master\NOMAD\data\elemental-properties\rd_max.csv, 38 , 2018-03-12
Kaggle-Nomad2018-master\NOMAD\data\elemental-properties\rp_max.csv, 37 , 2018-03-12
Kaggle-Nomad2018-master\NOMAD\data\elemental-properties\rs_max.csv, 30 , 2018-03-12
Kaggle-Nomad2018-master\NOMAD\data\test.csv, 47272 , 2018-03-12
Kaggle-Nomad2018-master\NOMAD\data\test_full.csv, 287184 , 2018-03-12
Kaggle-Nomad2018-master\NOMAD\data\test_prepared.csv, 171913 , 2018-03-12
Kaggle-Nomad2018-master\NOMAD\data\train.csv, 218636 , 2018-03-12
Kaggle-Nomad2018-master\NOMAD\data\train_full.csv, 1187383 , 2018-03-12
Kaggle-Nomad2018-master\NOMAD\data\train_prepared.csv, 721471 , 2018-03-12
Kaggle-Nomad2018-master\NOMAD\data_pipeline.py, 2281 , 2018-03-12
Kaggle-Nomad2018-master\NOMAD\data_scaled_1hot.csv, 493348 , 2018-03-12
Kaggle-Nomad2018-master\NOMAD\dnn_keras (1).ipynb, 1285300 , 2018-03-12
Kaggle-Nomad2018-master\NOMAD\dnn_keras.ipynb, 11284 , 2018-03-12
Kaggle-Nomad2018-master\NOMAD\dnn_keras_f.ipynb, 389362 , 2018-03-12
Kaggle-Nomad2018-master\NOMAD\ensembling, 0 , 2018-03-12
Kaggle-Nomad2018-master\NOMAD\ensembling\.ipynb_checkpoints, 0 , 2018-03-12
Kaggle-Nomad2018-master\NOMAD\ensembling\.ipynb_checkpoints\meta_regressor-checkpoint.ipynb, 8877 , 2018-03-12
Kaggle-Nomad2018-master\NOMAD\ensembling\.ipynb_checkpoints\new_bag-checkpoint.ipynb, 7029 , 2018-03-12
Kaggle-Nomad2018-master\NOMAD\ensembling\.ipynb_checkpoints\new_cat-checkpoint.ipynb, 3486 , 2018-03-12
Kaggle-Nomad2018-master\NOMAD\ensembling\.ipynb_checkpoints\new_knn-checkpoint.ipynb, 3195 , 2018-03-12
Kaggle-Nomad2018-master\NOMAD\ensembling\.ipynb_checkpoints\new_lgbm-checkpoint.ipynb, 4624 , 2018-03-12
Kaggle-Nomad2018-master\NOMAD\ensembling\.ipynb_checkpoints\new_xgb-checkpoint.ipynb, 5112 , 2018-03-12
Kaggle-Nomad2018-master\NOMAD\ensembling\NUTILS.py, 3369 , 2018-03-12
Kaggle-Nomad2018-master\NOMAD\ensembling\__pycache__, 0 , 2018-03-12
Kaggle-Nomad2018-master\NOMAD\ensembling\__pycache__\NUTILS.cpython-36.pyc, 3900 , 2018-03-12
Kaggle-Nomad2018-master\NOMAD\ensembling\architecture, 0 , 2018-03-12
Kaggle-Nomad2018-master\NOMAD\ensembling\best, 0 , 2018-03-12
Kaggle-Nomad2018-master\NOMAD\ensembling\best\cat_2.csv, 25324 , 2018-03-12
Kaggle-Nomad2018-master\NOMAD\ensembling\best\k_dnn_12.csv, 14828 , 2018-03-12
Kaggle-Nomad2018-master\NOMAD\ensembling\best\sub.csv, 25366 , 2018-03-12
Kaggle-Nomad2018-master\NOMAD\ensembling\best\xgb_2.csv, 25320 , 2018-03-12
Kaggle-Nomad2018-master\NOMAD\ensembling\cat_models, 0 , 2018-03-12
Kaggle-Nomad2018-master\NOMAD\ensembling\cat_models\cat_band_model1, 468364 , 2018-03-12
Kaggle-Nomad2018-master\NOMAD\ensembling\cat_models\cat_form_model1, 531352 , 2018-03-12
Kaggle-Nomad2018-master\NOMAD\ensembling\corr_script.py, 1421 , 2018-03-12
Kaggle-Nomad2018-master\NOMAD\ensembling\input, 0 , 2018-03-12
Kaggle-Nomad2018-master\NOMAD\ensembling\input\sample_submission.csv, 10739 , 2018-03-12
Kaggle-Nomad2018-master\NOMAD\ensembling\input\test.csv, 47272 , 2018-03-12
Kaggle-Nomad2018-master\NOMAD\ensembling\input\test, 0 , 2018-03-12
Kaggle-Nomad2018-master\NOMAD\ensembling\input\test\.DS_Store, 6148 , 2018-03-12
Kaggle-Nomad2018-master\NOMAD\ensembling\input\test\1, 0 , 2018-03-12
Kaggle-Nomad2018-master\NOMAD\ensembling\input\test\1\geometry.xyz, 5550 , 2018-03-12
Kaggle-Nomad2018-master\NOMAD\ensembling\input\test\10, 0 , 2018-03-12
Kaggle-Nomad2018-master\NOMAD\ensembling\input\test\10\geometry.xyz, 5549 , 2018-03-12
Kaggle-Nomad2018-master\NOMAD\ensembling\input\test\100, 0 , 2018-03-12
Kaggle-Nomad2018-master\NOMAD\ensembling\input\test\100\geometry.xyz, 1695 , 2018-03-12
Kaggle-Nomad2018-master\NOMAD\ensembling\input\test\101, 0 , 2018-03-12
Kaggle-Nomad2018-master\NOMAD\ensembling\input\test\101\geometry.xyz, 5550 , 2018-03-12
Kaggle-Nomad2018-master\NOMAD\ensembling\input\test\102, 0 , 2018-03-12
Kaggle-Nomad2018-master\NOMAD\ensembling\input\test\102\geometry.xyz, 1683 , 2018-03-12
Kaggle-Nomad2018-master\NOMAD\ensembling\input\test\103, 0 , 2018-03-12
Kaggle-Nomad2018-master\NOMAD\ensembling\input\test\103\geometry.xyz, 5549 , 2018-03-12
Kaggle-Nomad2018-master\NOMAD\ensembling\input\test\104, 0 , 2018-03-12
Kaggle-Nomad2018-master\NOMAD\ensembling\input\test\104\geometry.xyz, 2993 , 2018-03-12
Kaggle-Nomad2018-master\NOMAD\ensembling\input\test\105, 0 , 2018-03-12
Kaggle-Nomad2018-master\NOMAD\ensembling\input\test\105\geometry.xyz, 2992 , 2018-03-12
Kaggle-Nomad2018-master\NOMAD\ensembling\input\test\106, 0 , 2018-03-12
Kaggle-Nomad2018-master\NOMAD\ensembling\input\test\106\geometry.xyz, 2343 , 2018-03-12

下载说明:请别用迅雷下载,失败请重下,重下不扣分!

发表评论

0 个回复

  • Matlab-and-VC20101230
    总结了matlab与vc混合编程的三种常用方法,并结合了具体的实例,简单介绍了基本的操作(Matlab and vc summarized three common hybrid programming method, and specific examples, a brief introduction of the basic operations)
    2011-04-25 10:05:19下载
    积分:1
  • MATLAB-motor-simulation-model
    全面的对直流电动机和发电机特性进行仿真研究,对于异步电机启动、调速和坐标变换进行建模仿真,同时给出了同步电机的坐标变换模型。(A comprehensive simulation study of DC motor and generator characteristics for asynchronous motor starting, speed control and coordinate transformation for modeling and simulation, and gives the coordinate transformation model of synchronous motor.)
    2020-09-27 16:27:46下载
    积分:1
  • Calculate_the_number_of_kernel
    Volterra 级数,用于非线性建模,其中核需要自己确定,还有记忆长度(Volterra series for nonlinear modeling, in which the core needs to set itself, as well as memory length)
    2021-02-20 20:19:43下载
    积分:1
  • Optics_and_Photonics
    comsol mytihpysics最新版4.3a中射频模块中关于光学和光子晶体的源码(source on the optical and photonic crystals in the latest version of the COMSOL mytihpysics to 4.3a and RF module)
    2013-04-27 14:51:23下载
    积分:1
  • ezwmatlab
    使用Matlab写的EZW算法,里面有实例 (ezw algorithm, there are examples)
    2015-09-28 19:51:02下载
    积分:1
  • Moorer-Reverberation
    Moorer 人工混响程序,根据不同的混响时间下能够计算DRR(Moorer artificial reverberation program, according to the different reverberation time can calculate the DRR)
    2021-03-21 20:59:17下载
    积分:1
  • ASC旁瓣相消
    ASC旁瓣相消 基于MSE准则下的仿真图 线阵(ASC sidelobe cancellation based on the simulation map under the MSE criterion)
    2021-02-03 09:39:59下载
    积分:1
  • jibenyichuansuanfa
    这是基于基本遗传算法的函数最优化的matlab程序(This is based on a function of the basic genetic algorithm matlab optimization procedures)
    2009-03-06 17:17:01下载
    积分:1
  • lbc15_11
    this is matlab code cyclic 1511
    2010-11-09 23:45:34下载
    积分:1
  • image-processing
    说明:  关于图像处理的matlab小程序,其中包括图像滤波和图像去噪。(image processing image denoising image filter)
    2011-04-09 20:08:38下载
    积分:1
  • 696518资源总数
  • 105877会员总数
  • 14今日下载