https://download.csdn.net/download/qq_41739364/86339152
2024/11/2 16:33:25 2.08MB python
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蝙蝠算法(BA)是Yang教授于2010年基于群体智能提出的启发式搜索算法,是一种搜索全局最优解的有效方法。
该资源是Yang教师的蝙蝠算法matlab实现
2024/10/16 11:58:35 11KB 蝙蝠算法
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oduleGPS ( //////////////////// ClockInput //////////////////// CLOCK_24, // 24MHz CLOCK_27, // 27MHz CLOCK_50, // 50MHz EXT_CLOCK, // ExternalClock //////////////////// PushButton //////////////////// KEY, // Pushbutton[3:0] //////////////////// DPDTSwitch //////////////////// SW, // ToggleSwitch[9:0] //////////////////// 7-SEGDispaly //////////////////// HEX0, // SevenSegmentDigit0 HEX1, // SevenSegmentDigit1 HEX2, // SevenSegmentDigit2 HEX3, // SevenSegmentDigit3 //////////////////////// LED //////////////////////// LEDG, // LEDGreen[7:0] LEDR, // LEDRed[9:0] //////////////////////// UART //////////////////////// UART_TXD, // UARTTransmitter UART_RXD, // UARTReceiver ///////////////////// SDRAMInterface //////////////// DRAM_DQ, // SDRAMDatabus16Bits DRAM_ADDR, // SDRAMAddressbus12Bits DRAM_LDQM, // SDRAMLow-byteDataMask DRAM_UDQM, // SDRAMHigh-byteDataMask DRAM_WE_N, // SDRAMWriteEnable DRAM_CAS_N, // SDRAMColumnAddressStrobe DRAM_RAS_N, // SDRAMRowAddressStrobe DRAM_CS_N, // SDRAMChipSelect DRAM_BA_0, // SDRAMBankAddress0 DRAM_BA_1, // SDRAMBankAddress0 DRAM_CLK, // SDRAMClock DRAM_CKE, // SDRAMClockEnable //////////////////// FlashInterface //////////////// FL_DQ, // FLASHDatabus8Bits FL_ADDR, // FLASHAddressbus22Bits FL_WE_N, // FLASHWriteEnable FL_RST_N, // FLASHReset FL_OE_N, // FLASHOutputEnable FL_CE_N, // FLASHChipEnable //////////////////// SRAMInterface //////////////// SRAM_DQ, // SRAMDatabus16Bits SRAM_ADDR, // SRAMAddressbus18Bits SRAM_UB_N, // SRAMHigh-byteDataMask SRAM_LB_N, // SRAMLow-byteDataMask SRAM_WE_N, // SRAMWriteEnable SRAM_CE_N, // SRAMChipEnable SRAM_OE_N, // SRAMOutputEnable //////////////////// SD_CardInterface //////////////// SD_DAT, // SDCardData SD_DAT3, // SDCardData3 SD_CMD, // SDCardCommandSignal SD_CLK, // SDCardClock //////////////////// USBJTAGlink //////////////////// TDI, //CPLD->FPGA(datain) TCK, //CPLD->FPGA(clk) TCS, //CPLD->FPGA(CS) TDO, //FPGA->CPLD(dataout) //////////////////// I2C //////////////////////////// I2C_SDAT, // I2CData I2C_SCLK, // I2CClock //////////////////// PS2 //////////////////////////// PS2_DAT, // PS2Data PS2_CLK, // PS2Clock //////////////////// VGA //////////////////////////// VGA_HS, // VGAH_SYNC
2024/10/16 5:07:29 906B GPS FPGA
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复杂网络中基本网络模型的matlab实现,包括随机图模型、SW模型、NW模型、BA模型以及度分布、集聚系数、最短路径的计算。
2024/10/13 8:13:51 10KB 复杂网络 模型 matlab
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观察到光泵Ba/He混合物产生的582.8nm碰撞诱导荧光新谱线及其弛豫振荡.进行理论分析和计算,结果与实验相符合.
2024/9/26 15:52:12 3.55MB 碰撞诱导 弛豫振荡 collision relaxatio
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│creator.d.ts│global.d.ts│jsconfig.json│list.txt│project.json│README.md│template-banner.png│template.json│tsconfig.json│├─assets││animate.meta││audio.meta││bydrbg.mp3││bydrbg.mp3.meta││prefabs.meta││resources.meta││Scene.meta││Script.meta││Texture.meta│││├─animate││coin_up.anim││coin_up.anim.meta││fish_bigred_die.anim││fish_bigred_die.anim.meta││fish_bigred_run.anim││fish_bigred_run.anim.meta││fish_denglong_die.anim││fish_denglong_die.anim.meta││fish_denglong_run.anim││fish_denglong_run.anim.meta││fish_fuyi_die.anim││fish_fuyi_die.anim.meta││fish_fuyi_run.anim││fish_fuyi_run.anim.meta││fish_gui_die.anim││fish_gui_die.anim.meta││fish_gui_run.anim││fish_gui_run.anim.meta││fish_hailuoshuimu_die.anim││fish_hailuoshuimu_die.anim.meta││fish_hailuoshuimu_run.anim││fish_hailuoshuimu_run.anim.meta││fish_hetun_die.anim││fish_hetun_die.anim.meta││fish_hetun_run.anim││fish_hetun_run.anim.meta││fish_jinshayu_die.anim││fish_jinshayu_die.anim.meta││fish_jinshayu_run.anim││fish_jinshayu_run.anim.meta││fish_red_die.anim││fish_red_die.anim.meta││fish_red_run.anim││fish_red_run.anim.meta││fish_shayu_die.anim││fish_shayu_die.anim.meta││fish_shayu_run.anim││fish_shayu_run.anim.meta││fish_shuimu_die.anim││fish_shuimu_die.anim.meta││fish_shuimu_run.anim││fish_shuimu_run.anim.meta││fish_yellow_die.anim││fish_yellow_die.anim.meta││fish_yellow_run.anim││fish_yellow_run.anim.meta││gold_down.anim││gold_down.anim.meta││net_1.anim││net_1.anim.meta││net_2.anim││net_2.anim.meta││net_3.anim││net_3.anim.meta││net_4.anim││net_4.anim.meta││net_5.anim││net_5.anim.meta││net_6.anim││net_6.anim.meta││net_7.anim││net_7.anim.meta││silver_down.anim││silver_down.anim.meta││weapon_level_1.anim││weapon_level_1.anim.meta││weapon_level_2.anim││weapon_level_2.anim.meta││weapon_level_3.anim││weapon_level_3.anim.meta││weapon_level_4.anim││weapon_level_4.anim.meta││weapon_level_5.anim││weapon_level_5.anim.meta││weapon_level_6.anim││weapon_level_6.anim.meta││weapon_level_7.anim││weapon_level_7.anim.meta│││├─audio││bydrbg.mp3││bydrbg.mp3.meta│││├─prefabs││bullet.prefab││bullet.prefab.meta││coins_down.prefab││coins_down.prefab.meta││coins_up.prefab││coins_up.prefab.meta││fish_node.prefab││fish_node.prefab.meta││net.prefab││net.prefab.meta│││├─resources││fishconfig.json││fishconfig.json.meta│││├─Scene││mainscene.fire││mainscene.fire.meta│││├─Script│││Bullet.ts│││Bullet.ts.meta│││CoinController.ts│││CoinController.ts.meta│││Coins.ts│││Coins.ts.meta│││Fish.ts│││Fish.ts.meta│││FishType.ts│││FishType.ts.meta│││FluxayEffect.ts│││FluxayEffect.ts.meta│││FluxayFrag.ts│││FluxayFrag.ts.meta│││Game.ts│││Game.ts.meta│││Lib.meta│││Net.ts│││Net.ts.meta│││NumUp.ts│││NumUp.ts.meta│││WaterWaveEffect.ts│││WaterWaveEffect.ts.meta│││WaterWaveFrag.ts│││WaterWaveFrag.ts.meta│││Weapon.ts│││Weapon.ts.meta│││││└─Lib││Fetch.js││Fetch.js.meta│││└─Texture│bg_buyu2.jpg│bg_buyu2.jpg.meta│cointextures.plist│cointextures.plist.meta│cointextures.png│cointextures.png.meta│game_bg.jpg│game_bg.jpg.meta│singleColor.png│singleColor.png.meta│startbg.jpg│startbg.jpg.meta│textures.plist│textures.plist.meta│textures.png│textures.png.meta│timer.plist│timer.plist.meta│timer.png│timer.png.meta│├─library││uuid-to-mtime.json│││└─imports│├─00││0004d1cf-a0ad-47d8-ab17-34d3db9d35a3.json│││├─01││01821c38-18f1-4a1f-b1c0-dac8df856a9b.json││01857e81-46bf-45c5-b320-c38e79536090.json│││├─02││0297aab2-9482-4fc6-ac87-d68d50d5f2f1.json││02e525be-7b9a-4b62-ab99-ee172db2bc88.json│││├─03││03df0651-a189-4b05-a646-29981a15dee3.json││03e50ffb-cb1a-4afb-aede-3ac3ac31698f.json│││├─04││048a219b-da01-4684-8b54-aa1653c502b3.json││04e9cc79-504b-41ff-a96e-99247a6149c2.json│││├─05││05b6ae1c-08ba-4230-8b5b-dee0f9af12f5.json│││├─07││072c5ae0-8e92-4b42-a7c5-3540dcce1d2a.json││075496c2-3054-4116-b28a-6a3ce56c9b82.json│││├─09││09dcbf2e-7e12-4484-b274-a90a5dbea247.json│││├─0a││0abcbfc1-d6be-4e67-bd69-493d74d32d96.json│││├─0b││0bdf1072-1a07-4fa5-b855-b5bce89525b0.json││0bf3fea6-f31b-484d-a4dd-64971cef270b.json│││├─0c││0c3ad56d-ba91-4ea3-a026-9b500145f231.json││0c7ca89b-b169-4b30-b1b8-29a079aa5ee3.json│││├─0d││0d784963-d024-4ea6-a7db-03be0ad63010.json│││├─0e││0e51b981-a3d9-49cc-aa9c-404e0efeda5a.json││0e61ade8-dc34-4136-b740-47260ebeea1e.json││0e7af90c-9613-4d76-a5f4-b12ac5730edd.json││0eb2a745-93e2-49ac-b774-0109a77961fd.json│││├─0f││0f059f64-4f38-4b3e-b13e-984931a6e553.json││0f9ca701-1737-4790-872b-7a0bb56dec66.json│││├─11││11ae9247-d3ae-483f-97c1-1fdd824f486d.json│││├─12││124733b0-c72d-4ddb-ac93-6013a1069762.json│││├─13││13745ebd-1b5f-4f37-b312-3d2943b17919.json│││├─14││144ba423-9342-4f87-a7ff-6445353a9d84.json│││├─17││17692484-19b5-47ef-877e-04329f343065.json││17abdf57-fe91-42bd-9ca5-8effe2f19648.json│││├─18││18f693fa-b5b1-47ed-a94d-ebdd89f8fbc1.json│││├─19││19ccf57e-b91f-4a08-ab53-797df5a850d8.json│││├─1a││1a32fc76-f0bd-4f66-980f-56929c0ca0b3.json│││├─1b││1b2a844b-1d1f-4e9e-8332-ae9c394b990e.json││1b42dc08-8b1c-4686-be87-0371affccd09.json││1b5f84d9-d84c-466f-877a-66499c80168c.json│││├─1c││1c4b1f77-a56b-4b8e-8768-fe614ca7795b.json│││├─1d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2024/8/25 13:37:31 10.13MB cocos creator 捕鱼达人
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MATLAB源码集锦-复杂网络BA算法计算过程代码
2024/8/5 13:15:30 1KB 复杂网络 BA算法 MATLAB
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可以仿真BA模型的建立,输出网络图像,得到稀疏矩阵
2024/8/5 9:38:56 2KB 无标度网络 BA模型 MATLAB
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BA无标度网络,WS小世界,随机图matlab实现
2024/6/15 18:13:30 3KB 复杂网络
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(1)安装下载好的sam-ba_2.14.e软件插上jlink的USB口,在设备管理器种会出现未知设备,右击给该设备添加驱动,将驱动路径指向所安装的“sam-ba_2.14\drv”文件夹,之后jlink的驱动就会进行安装(2)打开sam-ba_2.14.exe软件,选择合适的串口号和芯片型号,芯片型号根据JLINK上的电路板进行(3)点击connect,进入下列界面,选择文件夹中的JINK_V8_4.24f.bin文件,sendfile,之后弹出的框框都选是,更新完毕,给JLINK重新上电,这时候就会发现指示灯已经亮了了
2024/5/8 21:41:23 6.97MB JLINK
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在日常工作中,钉钉打卡成了我生活中不可或缺的一部分。然而,有时候这个看似简单的任务却给我带来了不少烦恼。 每天早晚,我总是得牢记打开钉钉应用,点击"工作台",再找到"考勤打卡"进行签到。有时候因为工作忙碌,会忘记打卡,导致考勤异常,影响当月的工作评价。而且,由于我使用的是苹果手机,有时候系统更新后,钉钉的某些功能会出现异常,使得打卡变得更加麻烦。 另外,我的家人使用的是安卓手机,他们也经常抱怨钉钉打卡的繁琐。尤其是对于那些不太熟悉手机操作的长辈来说,每次打卡都是一次挑战。他们总是担心自己会操作失误,导致打卡失败。 为了解决这些烦恼,我开始思考是否可以通过编写一个全自动化脚本来实现钉钉打卡。经过一段时间的摸索和学习,我终于成功编写出了一个适用于苹果和安卓系统的钉钉打卡脚本。
2024-04-09 15:03 15KB 钉钉 钉钉打卡