<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[BSZJYAJ的博客]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/BSZJYAJ</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; BSZJYAJ]]></copyright><item><title><![CDATA[SpaceClaim改回默认文件格式.scdoc]]></title><link>https://blog.youkuaiyun.com/BSZJYAJ/article/details/163066930</link><guid>https://blog.youkuaiyun.com/BSZJYAJ/article/details/163066930</guid><author>BSZJYAJ</author><pubDate>Tue, 21 Jul 2026 09:57:05 +0800</pubDate><description><![CDATA[Speos支持ACIS和parasolid两种几何内核建模方法，默认采用parasolid，通常安装speos后，打开speos时会激活parasolid内核，并修改SpaceClaim的默认为.scdocx。导致流体分析时，划分网格或更新几何体，会出现报错。SpaceClaim默认采用ACIS几何内核建模，默认文件格式为.scdoc。modeler option 改为 ACIS Deprecated。打开Speos Claim。]]></description><category></category></item><item><title><![CDATA[AMESIMR5编译运行不了问题]]></title><link>https://blog.youkuaiyun.com/BSZJYAJ/article/details/161712857</link><guid>https://blog.youkuaiyun.com/BSZJYAJ/article/details/161712857</guid><author>BSZJYAJ</author><pubDate>Fri, 05 Jun 2026 11:31:10 +0800</pubDate><description><![CDATA[Tools Options Preference Compilation页面。下面Compiler Settings点开也是只选GNU。]]></description><category></category></item><item><title><![CDATA[Amesim两个版本一起开的方法]]></title><link>https://blog.youkuaiyun.com/BSZJYAJ/article/details/161692108</link><guid>https://blog.youkuaiyun.com/BSZJYAJ/article/details/161692108</guid><author>BSZJYAJ</author><pubDate>Thu, 04 Jun 2026 16:34:29 +0800</pubDate><description><![CDATA[1. 记事本→【文件-另存为】，文件名 启动2021.bat ，编码：ANSI（解决乱码+语法报错）::关键格式：start + 空格 + "" + 空格 + "程序完整路径"2. 确认系统服务： Siemens RLM Server 处于已启动状态。3. 双击bat即可启动2021。echo 2021脚本执行完成。echo R15脚本执行完成。]]></description><category></category></item><item><title><![CDATA[Ansys 核心数限制]]></title><link>https://blog.youkuaiyun.com/BSZJYAJ/article/details/132428883</link><guid>https://blog.youkuaiyun.com/BSZJYAJ/article/details/132428883</guid><author>BSZJYAJ</author><pubDate>Tue, 22 Aug 2023 15:28:31 +0800</pubDate><description><![CDATA[Ansys2021R1和2023木有核心数限制。其间版本有核心数限制如下图。]]></description><category></category></item><item><title><![CDATA[python openpyxl删除excel中 sheet另存为新excel]]></title><link>https://blog.youkuaiyun.com/BSZJYAJ/article/details/128041560</link><guid>https://blog.youkuaiyun.com/BSZJYAJ/article/details/128041560</guid><author>BSZJYAJ</author><pubDate>Fri, 25 Nov 2022 17:24:47 +0800</pubDate><description><![CDATA[python openpyxl删除excel中 sheet后另存为新excel的极简操作]]></description><category></category></item><item><title><![CDATA[win10cpu爆满的解决方案之compattelrunner疯狂读取硬盘]]></title><link>https://blog.youkuaiyun.com/BSZJYAJ/article/details/123449297</link><guid>https://blog.youkuaiyun.com/BSZJYAJ/article/details/123449297</guid><author>BSZJYAJ</author><pubDate>Sat, 12 Mar 2022 20:14:05 +0800</pubDate><description><![CDATA[第一步：

控制面板\系统和安全\管理工具— 服务 — 手动
Connected User Experiences and Telemetry
Diagnostic Policy Service
Diagnostic Service Host







第二步：

控制面板\系统和安全\管理工具— 任务计划 — 任务计划程序库 — Microsoft — Windows — Application Experience — Microsoft Compatibility Appraiser 禁止


.]]></description><category></category></item><item><title><![CDATA[tensorflow又不能用了！快速搞定它]]></title><link>https://blog.youkuaiyun.com/BSZJYAJ/article/details/106837204</link><guid>https://blog.youkuaiyun.com/BSZJYAJ/article/details/106837204</guid><author>BSZJYAJ</author><pubDate>Thu, 18 Jun 2020 16:10:34 +0800</pubDate><description><![CDATA[以上CPU版不管用！！！！看下面

===================================================================================

CPU版本可用！！










]]></description><category></category></item><item><title><![CDATA[Mysql 无法连接的极简操作]]></title><link>https://blog.youkuaiyun.com/BSZJYAJ/article/details/106562942</link><guid>https://blog.youkuaiyun.com/BSZJYAJ/article/details/106562942</guid><author>BSZJYAJ</author><pubDate>Fri, 05 Jun 2020 08:53:34 +0800</pubDate><description><![CDATA[目录

1.检查

2.管理员运行cmd

3.稍微操作一下

4.就完成啦

1.检查



2.管理员运行cmd



3.稍微操作一下



4.就完成啦


]]></description><category></category></item><item><title><![CDATA[集精华帖简洁凝练版MYSQL-8.0.20-winx64下载与安装教程]]></title><link>https://blog.youkuaiyun.com/BSZJYAJ/article/details/106289336</link><guid>https://blog.youkuaiyun.com/BSZJYAJ/article/details/106289336</guid><author>BSZJYAJ</author><pubDate>Fri, 22 May 2020 19:08:03 +0800</pubDate><description><![CDATA[一、下载

下载地址：https://www.mysql.com/









二、安装





一定要以管理员身份运行，否则之后运行：F:\WORK\mysql-8.0.20-winx64\bin&gt;mysqld --install

会报错：Install/Remove of the Service Denied!



安装主要步骤：

1 调整目录为减压文件所在位置\mysql-8.0.20-winx64\bin。





2 命令：mysqld --initialize –...]]></description><category></category></item><item><title><![CDATA[豆瓣Top250电影信息python爬虫excel/sqlite数据存储教程]]></title><link>https://blog.youkuaiyun.com/BSZJYAJ/article/details/106117566</link><guid>https://blog.youkuaiyun.com/BSZJYAJ/article/details/106117566</guid><author>BSZJYAJ</author><pubDate>Thu, 14 May 2020 12:42:49 +0800</pubDate><description><![CDATA[1.代码


#-*- coding= utf-8 -*-
#@Time: 2020/5/1312:40
#@Author: evating
#@File: Travel.py
#@Software:PyCharm.py

import re
from bs4 import BeautifulSoup
import urllib
import xlwt
import sqlite3

def main():
    baseurl = "https://movie.douban.com/top250?sta]]></description><category></category></item><item><title><![CDATA[一句话粗暴认识python中的“if __name__ == '__main__'”语句]]></title><link>https://blog.youkuaiyun.com/BSZJYAJ/article/details/105562009</link><guid>https://blog.youkuaiyun.com/BSZJYAJ/article/details/105562009</guid><author>BSZJYAJ</author><pubDate>Thu, 16 Apr 2020 17:01:28 +0800</pubDate><description><![CDATA[if __name__ == '__main__'”，就是为了让该语句所在程序被调用时能够执行该语句外函数等程序，而不输出该语句下程序。

参考：https://blog.youkuaiyun.com/qq_27017791/article/details/80212016?depth_1-utm_source=distribute.pc_relevant.none-task-blog-BlogCommend...]]></description><category></category></item><item><title><![CDATA[pytorch白话入门笔记1.17-批标准化（第一阶段笔记完结）]]></title><link>https://blog.youkuaiyun.com/BSZJYAJ/article/details/105475057</link><guid>https://blog.youkuaiyun.com/BSZJYAJ/article/details/105475057</guid><author>BSZJYAJ</author><pubDate>Sun, 12 Apr 2020 21:53:54 +0800</pubDate><description><![CDATA[目录



1.批标准化

2.运行代码

3.运行结果

1.批标准化

批标准化通过使每一层的值在有限范围内传播，将分散的数据统一。

当神经网络深度很深的时候，在误差反向传递时，神经网络开始几层会学到一些东西，而到后面几层时很可能会出现神经网络没有东西可学的情况，这时候可以通过批标准化解决问题。

2.运行代码


import torch
from torch import nn
fro...]]></description><category></category></item><item><title><![CDATA[pytorch白话入门笔记1.16-drop矫正过拟合]]></title><link>https://blog.youkuaiyun.com/BSZJYAJ/article/details/105474802</link><guid>https://blog.youkuaiyun.com/BSZJYAJ/article/details/105474802</guid><author>BSZJYAJ</author><pubDate>Sun, 12 Apr 2020 19:53:55 +0800</pubDate><description><![CDATA[目录



1.过拟合

2.运行代码

3.运行结果

1.过拟合

过拟合，过于精确拟合少量数据点，而对整体数据趋势无精准把握和预测上的实用性。

2.运行代码


import torch
import matplotlib.pyplot as plt

# torch.manual_seed(1)    # reproducible

N_SAMPLES = 20
N_HIDDEN = ...]]></description><category></category></item><item><title><![CDATA[pytorch白话入门笔记1.15-GPU加速]]></title><link>https://blog.youkuaiyun.com/BSZJYAJ/article/details/105474353</link><guid>https://blog.youkuaiyun.com/BSZJYAJ/article/details/105474353</guid><author>BSZJYAJ</author><pubDate>Sun, 12 Apr 2020 19:22:00 +0800</pubDate><description><![CDATA[目录



1.GPU加速

2.运行代码

1.GPU加速

需要有GPU显卡，且支持CUDA模块

2.运行代码


import torch
import torch.nn as nn
import torch.utils.data as Data
import torchvision

# torch.manual_seed(1)

EPOCH = 1
BATCH_SIZE = 50
L...]]></description><category></category></item><item><title><![CDATA[pytorch白话入门笔记1.14-Why动态 pytorch？]]></title><link>https://blog.youkuaiyun.com/BSZJYAJ/article/details/105427063</link><guid>https://blog.youkuaiyun.com/BSZJYAJ/article/details/105427063</guid><author>BSZJYAJ</author><pubDate>Fri, 10 Apr 2020 10:13:51 +0800</pubDate><description><![CDATA[目录



1.为啥pytorch 是动态的？

2.代码

3.运行结果

1.为啥pytorch 是动态的？

因为使用pytorch 可以变batch又可变time step（Tensorflow 是典型的静态计算模块，先搭建好计算系统, 一旦搭建好, 就不能改动，Tensorflow 定义input 的placeholder, placeholder将会有 (batc...]]></description><category></category></item><item><title><![CDATA[pytorch白话入门笔记1.13-GAN]]></title><link>https://blog.youkuaiyun.com/BSZJYAJ/article/details/105404304</link><guid>https://blog.youkuaiyun.com/BSZJYAJ/article/details/105404304</guid><author>BSZJYAJ</author><pubDate>Thu, 09 Apr 2020 10:21:03 +0800</pubDate><description><![CDATA[1.认知GAN

GAN ，全名Generative Adversarial Nets，生成对抗网络。

两大特点：

生成模型G（给定分布随机数，模拟生成目标）
	通过与判别模型D“对抗”完成训练（1真实数据，）
最终目标：

1 表示是真实数据，0 表示为 G 伪造的数据；二者通过反复地对抗，最终理想情况下， G 生成的数据与真实数据非常接近，分布也相同，而 D 无论输出真实数据还是 G 伪...]]></description><category></category></item><item><title><![CDATA[pytorch白话入门笔记1.12-自编码/非监督性学习]]></title><link>https://blog.youkuaiyun.com/BSZJYAJ/article/details/105264964</link><guid>https://blog.youkuaiyun.com/BSZJYAJ/article/details/105264964</guid><author>BSZJYAJ</author><pubDate>Thu, 02 Apr 2020 11:29:03 +0800</pubDate><description><![CDATA[目录



1.自编码粗线条理解

2.代码

3.运行结果

1.自编码粗线条理解

通过encoder 编码器压缩得到原数据的精髓, 再创建一个小神经网络学习精髓的数据,减少神经网络的负担, 达到效果。

2.代码


import torch
import torch.nn as nn
import torch.utils.data as Data
import torchvision
i...]]></description><category></category></item><item><title><![CDATA[pytorch白话入门笔记1.11-RNN循环神经网络（回归）]]></title><link>https://blog.youkuaiyun.com/BSZJYAJ/article/details/105250037</link><guid>https://blog.youkuaiyun.com/BSZJYAJ/article/details/105250037</guid><author>BSZJYAJ</author><pubDate>Wed, 01 Apr 2020 17:03:16 +0800</pubDate><description><![CDATA[1.数据

（1）代码


import torch
from torch import nn
import numpy as np
import matplotlib.pyplot as plt

# torch.manual_seed(1)    # reproducible

# Hyper Parameters
TIME_STEP = 10  # rnn time step
INPUT_S...]]></description><category></category></item><item><title><![CDATA[pytorch白话入门笔记1.10-RNN循环神经网络（分类）]]></title><link>https://blog.youkuaiyun.com/BSZJYAJ/article/details/105248109</link><guid>https://blog.youkuaiyun.com/BSZJYAJ/article/details/105248109</guid><author>BSZJYAJ</author><pubDate>Wed, 01 Apr 2020 16:22:16 +0800</pubDate><description><![CDATA[1.显示数据

代码


import torch
from torch import nn
import torchvision.datasets as dsets
import torchvision.transforms as transforms
import matplotlib.pyplot as plt


# torch.manual_seed(1)    # reproducib...]]></description><category></category></item><item><title><![CDATA[pytorch白话入门笔记1.9-CNN卷积神经网络]]></title><link>https://blog.youkuaiyun.com/BSZJYAJ/article/details/105216714</link><guid>https://blog.youkuaiyun.com/BSZJYAJ/article/details/105216714</guid><author>BSZJYAJ</author><pubDate>Tue, 31 Mar 2020 23:21:16 +0800</pubDate><description><![CDATA[1.CNN卷积神经网络

（1）代码


import torch
import torch.nn as nn
import torch.utils.data as Data
import torchvision      # 数据库模块
import matplotlib.pyplot as plt

torch.manual_seed(1)    # reproducible

# Hyper...]]></description><category></category></item></channel></rss>