GJO-LSTM-Adaboost optimizes Adaboost classification prediction of long short-term memory neural network LSTM based on the golden jackal algorithm

?About the author: A Matlab simulation developer who loves scientific research. He cultivates his mind and improves his technology simultaneously. For code acquisition, paper reproduction and scientific research simulation cooperation, please send a private message. Personal homepage: Matlab Research Studio Personal credo: Investigate things to gain knowledge. For more complete Matlab code and simulation customization […]

<1>, C++ implements multi-thread synchronization processing: controlling the output sequence of ABC, outputting 10 groups, mutex+condition_variable

Table of Contents need: analyze: Some code implementation: 1. Operations implemented using only flag bits: 2. For greater security, the mutex lock code is added: 3. Use it with unique_lock to make the code safer Four: Use guard lock lock_guard to work with it 5. You can also use condition variables to process, which will […]

SpringBoot: SpEL makes complex permission control easy!

The path to growth as a programmer Internet/Programmer/Technology/Data Sharing focus on This article should take approximately 6 minutes to read. From: juejin.cn/post/7226674759626571833 1 Introduction 2 SpEL expression 3 Let’s do it Custom annotations Define aspects 4 Permission verification First, introduce SpEL: Then, get the expression we need from the annotation. Expression parsing Custom parsing method […]

Linear regression predicts Boston housing prices & the reason for loss is NAN & draws a scatter plot to find the relationship between features and labels

Boston house price csv file Link: https://pan.baidu.com/s/1uz6oKs7IeEzHdJkfrpiayg?pwd=vufb Extraction code: vufb Code %matplotlib inline import random import torch import matplotlib.pyplot as plt import numpy as np import pandas as pd import torch Get the data set from CSV # Load data, the first line is a useless line, skip it directly boston = pd.read_csv(‘../data/boston_house_prices.csv’,skiprows=[0]) # There […]

A brief discussion on using FlinkKafkaProducer to implement Exactly Once semantics on the sink side

Abstract In some important flink data processing scenarios, it is necessary to implement Exactly Once data processing. Exactly Once means that when flink processes data, it can ensure that data is not lost and data is not repeated. The entire flink processing link is roughly divided into three links: Source -> Transform -> Sink. Selecting […]

“Amazon Cloud Technology Product Review” event call for papers|Building a streaming media server with “weak” image processing functions

Authorization statement: This article authorizes the official Amazon Cloud Technology article to forward and rewrite the rights, including but not limited to Amazon Cloud Technology official channels such as Developer Centre, Zhihu, self-media platforms, third-party developer media, etc. This article is based on the following software and hardware tools: +awsec2 + frp-0.52.3 + mediamtx-1.3.0 + […]

Data processing files mutual conversion

Data processing The main ones organized here are .txt, .json, .csv, .excel, .pkl Data storage and conversion between files 1. txt part 1.1 List[dict] conversion to txt specific code def save_jsonlist_txt(json_data, target_path): “”” Save json list to txt file “”” with open(target_path, “w”, encoding=”utf-8″) as file: for item in json_data: item = str(item).replace(“\ “, “\\ […]

DevChat Programming Assistant: A new tool to improve programming efficiency

Article directory Foreword What is DevChat? DevChat Registration Detailed explanation of DevChat usage tutorial Python environment setup VScode installation DevChat plug-in installation DevChat plug-in configuration DevChat hands-on experience Advantages of DevChat Summarize Foreword Which programming assistant is the best? DevChat is here to help! Code generation is slow? Model load is heavy? Poor generation effect? […]

Python Artificial Intelligence in Practice: Intelligent Signal Processing

1. Background Introduction At present, artificial intelligence technology has entered the field of automation and achieved remarkable results. It has made breakthrough progress in the fields of image recognition, speech recognition, natural language processing and other fields, but it has not received such attention in the field of signal processing. For digital signal processing, many […]