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动态规划代码
Dynamic Programming Code for the TSP
- 2023-07-19 07:30:02下载
- 积分：1
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经典的BPN人工神经网络例子源码 ，很经典的
经典的BPN人工神经网络例子源码 ，很经典的-BPN classic examples of artificial neural network source code, it is classic
- 2022-03-04 10:57:24下载
- 积分：1
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bp人工神经网络算法实现，用java编写程序代码，应用案例是港口吞吐量预测...
bp人工神经网络算法实现，用java编写程序代码，应用案例是港口吞吐量预测-bp artificial neural network algorithm, using java programming code, the application case is the throughput of the port prediction
- 2022-03-17 01:01:01下载
- 积分：1
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I have the support vector machine procedures, it is easy to understand, you can...
我的支持向量机程序，很容易看懂，可在上面进行修改！-I have the support vector machine procedures, it is easy to understand, you can modify the above!
- 2022-02-07 03:52:27下载
- 积分：1
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--- --- --- -人脸检测----------------------Face Detection
- 2022-05-16 01:32:24下载
- 积分：1
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The SVM
人工智能模式识别中基于支持向量机的分类算法在识别领域属于较新的应用-The SVM-based classification algorithm is a kind of new application in the field of artificial intelligence and pattern recognition.
- 2022-02-04 13:25:13下载
- 积分：1
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This is a neural network to the face recognition algorithm.
这是一种利用神经网络来进行人脸识别的算法。-This is a neural network to the face recognition algorithm.
- 2023-04-24 00:15:03下载
- 积分：1
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机器人运动学正解程序,毕业设计可用,希望能有点用场
机器人运动学正解程序,毕业设计可用,希望能有点用场-robical code ，i hope it can be useful for you
- 2022-07-18 15:07:20下载
- 积分：1
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仿真1：首先把网络温度参数T固定在100，按工作规则共进行1000次状态更新,把这1000次状态转移中网络中的各个状态出现的次数Si（i＝1，2，…，16）记录
仿真1：首先把网络温度参数T固定在100，按工作规则共进行1000次状态更新,把这1000次状态转移中网络中的各个状态出现的次数Si（i＝1，2，…，16）记录下来 按下式计算各个状态出现的实际频率： Pi=Si/∑i=1,NSi=Si/M 同时按照Bo1tzmann分布计算网络各个状态出现概率的理论值： Q（Ei）=（1/Z）exp（-Ei/T） 仿真2：实施降温方案，重新计算 采用快速降温方案：T（t）= T0/（1+t） T从1000降到0.01，按工作规则更新网络状态 当T=0.01时结束降温，再让T保持在0.01进行1000次状态转移，比较两种概率-a simulation : First of all network parameters temperature T fixed at 100 and, according to the rules for a total of 1000 to update the state, this state of the 1000 network transfer of all states for the number of Si (i = 1, 2, ..., 16) all recorded determined by the formula state-of the actual frequency : Pi = Si/i = 1, NSi = Si/M in accordance with Bo1tzmann distributed computing network of states all probability the theoretical value : Q (Ei) = (1/Z) exp (- Ei/T) Simulation 2 : implementation of cooling, re-using rapid cooling programs : T (t) = T0/(1 t) T dropped to 0.01 from 1000 and, according to the rules updated network state when T = 0.01 at the end of cooling, let T at 0.01 for the 1000 state tran
- 2022-08-06 06:55:50下载
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Foreign researchers with the relevant frequent pattern discovery (including freq...
是国外相关研究人员提供的发现频繁模式（包括频繁集、频繁子图等）的最新版本算法。-Foreign researchers with the relevant frequent pattern discovery (including frequent itemsets, frequent subgraph, etc.) the latest version of algorithm.
- 2022-05-05 13:28:44下载
- 积分：1
