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[AI-NN-PR] Rouletter DL : 0: 某小型书会有100本书，并排放在一个架子上，供大家借阅。大家每次借阅一本，看完后即放在书架的最左边。每一本书根据热门程度的不同赋予不同的值，该值介于0~1之间，且0表示最冷门，1表示最热门。假设每天每人只能借1本书，且需要当天归还。会所共有100人，每天借书的人服从参数为0.1的几何分布。试模拟该过程，并指出1年（365天）后书的排列情况，并探讨该排列与书热门程度之间的关系。提示：由于是随机模拟，故整个实验需要多次执行，并显示统计结果。-A small book of 100 books, and emissions in a shelf for everyone to borrow. Every time we borrow one, after reading on the bookshelf to the left. Each book is based on popularity of different given different value between 0 and 1, and 0 is the most popular, one that the most popular. By assuming only one book per person per day, and need to return the same day. Club 100 people a day, borrowing obey the geometric distribution of parameter 0.1. Try to simulate the process, and that one year (365 days) after the arrangement of the book, and to explore the arrangement and the relationship between the degree of popular books. Tip: Due to the stochastic simulation, so the need to repeatedly perform the experiment, and show results.
Date : 2025-12-23 Size : 1kb User : 陈佳佳
[AI-NN-PR] wenduchuanganqi DL : 0: 温度传感器，低于某一个温度时，提示升温，高于某一个温度时报警-The temperature sensor, below a certain temperature, tip to warm up, and higher than a certain temperature alarm
Date : 2025-12-23 Size : 7kb User : 张紫溪
[AI-NN-PR] ss DL : 0: 给定若干两类二维的样本，用基于Fisher准则的方法投影到一维，求最佳投影方向，并画出图形。提示：即用以下矩阵的最大特征根对应的特征向量作为投影方向： -Given the number of samples of the two types of two-dimensional and one-dimensional projection method based on Fisher criterion to seek the best projection direction, and draw graphics. Tip: root corresponding eigenvectors of the following matrix characteristics as the projection direction:
Date : 2025-12-23 Size : 3kb User : 王彬辉
[AI-NN-PR] SparseDimension-Reduction DL : 0: 利用双收缩模型；来进行稀疏维数约简。TIP的文章-Double Shrinking SparseDimension Reduction
Date : 2025-12-23 Size : 1006kb User :
[AI-NN-PR] PREDICET DL : 0: 利用小波神经网络的尖时间序列对短时交通流量进行预测，方法简单有效-Use the tip of the time series of wavelet neural network for short-term traffic flow forecasting method is simple and effective
Date : 2025-12-23 Size : 5kb User : 张洋