华小电

摘要： rnn = nn.RNN(input_size=4,hidden_size=3,num_layers=2,batch_first=True, bidirectional = True) input = torch.randn(1,5,4) output , h_n = rnn(input) prin 阅读全文

摘要： batch_first – If True, then the input and output tensors are provided as (batch, seq, feature) instead of (seq, batch, feature). Note that this does n 阅读全文

摘要： # Define LSTM class Lstm(nn.Module): def __init__(self, input_size, hidden_size=2, output_size=1, num_layers=1): super().__init__() self.layer1 = nn.L 阅读全文

摘要： x=np.arange(1,100) y = np.sin(0.1*x) def D_1(x,y): n = len(x) d = np.zeros(n) d[0] = (y[1]-y[0])/(x[1]-x[0]) d[n-1] = (y[n-1]-y[n-2])/(x[n-1]-x[n-2]) 阅读全文

摘要： x = [1,2,3] y1 = np.array([4,5,6]) y2 = np.array([5,6,7]) y3 = np.array([7,6,5]) width = 0.2 Sum = y1+y2+y3 per = 100*y2/Sum #添加在中间，旋转90度 def add_mid( 阅读全文

摘要： ```python def firstorder(T,K,t,In): # T 时间常数 # K 增益 Out = np.zeros(len(In)) for i in range(1,len(t)): dt = t[i]-t[i-1] s = T/dt Out[i] = K*In[i]/(s+1) 阅读全文

摘要： x = np.arange(0,101) wn = np.random.rand(101) y1 = -1+0.02*x+0.1*wn y2 = np.sin(0.5*x) y3 = 0.0001*x**2-0.03*x+1 y4 = 0.8*np.cos(x) fig,ax1 = plt.subp 阅读全文

摘要： import numpy as np import statsmodels.api as sm from gekko import GEKKO # Data x0 = np.array([4,5,2,3,-1,1,6,7]) x1 = np.array([3,2,3,4, 3,5,2,6]) y = 阅读全文

摘要： import numpy as np from scipy.stats import linregress import statsmodels.api as sm import matplotlib.pyplot as plt from gekko import GEKKO # Data x = 阅读全文

摘要： nmcli 网卡显示未托管 解决办法： 修改/etc/NetworkManager/NetworkManager.conf 将文件中的 managed = false 改为 true 重启就可以了 这样就可以通过nmcli命令来断开/连接 网卡 nmcli device disconnect eth 阅读全文