计算机考研专业课程408相关的复习经验，资源和OneNote笔记

💯 CSPostgraduate 计算机考研 408 专业课资料及真题资源

使用QT开发的跨平台（Windows、Linux）流程图绘制工具

2023年最新总结，阿里，腾讯，百度，美团，头条等技术面试题目，以及答案，专家出题人分析汇总。

webrtc c++ library for mediasoup with full sfu c++ demo

Linux C/C++ 后台开发 面试题目

📚 程序员面试基础知识总结、优质项目分享、助力春招秋招

📚 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计

📚 C/C++ 技术面试基础知识总结，包括语言、程序库、数据结构、算法、系统、网络、链接装载库等知识及面试经验、招聘、内推等信息。This repository is a summary of the basic knowledge of recruiting job seekers and beginners in the direction of C/C++ technology, in…

This repo holds the implementation the paper 'Forecasting gold price using a novel hybrid model with ICEEMDAN and LSTM-CNN-CBAM', by Yanhui Liang, Yu Lin, and Qin Lu.

this project use pso and ipso to optim lstm's hyperparams, include learning rate,hidden-nodes and training epoch number. and finally use ipso-lstm for power load forcast.

光伏发电预测

Research notebook on the implementation of Long Short-Term Memory (LSTM), Convolutional LSTM (convLSTM), and XGBOOST models for short, medium and long-term Photovoltaic (PV) and Wind Turbine power …

Electricity price (energy demand) forecasting using different ML, DL, stacked DL and hybrid methods (XGBoost, GRU, LSTM, CNN, CNN-LSTM, LSTM-Attention, Hybrid GRU-XGBoost and Hybrid LSTM-Attention-…

LSTM-XGBoost Time Series Forecasting

The research provides effective management strategies for different asset portfolios in the financial sector by building models. The VMD-LSTM-PSO model is developed for daily financial market price…

PSO On neural Network and LSTM

GA，PSO，LSTM...

The sparrow search algorithm determines the key parameters of the LSTM.

code for "Intra-hour Photovoltaic Generation Forecasting based on Multi-source Data and Deep Learning Methods." IEEE Transactions on Sustainable Energy

Use historical energy production values along with weather predictions to forecast photovoltaic energy production.

Multi-scale LSTM based hourly Photovoltaic (PV) power generation forecasting

Forecast for your photovoltaic plant in ioBroker

Implementing LSTM-Conv1D vs Prophet Models with Bayesian Hyperparameters Optimization for Multi/Univariate Analysis.

Optimizing the Convergence of ARIMA and LSTM models for Time Series Forecasting

optimizes LSTM hyperparameters for network traffic

Stock Prediction using LSTM, Linear Regression, ARIMA and GARCH models. Hyperparameter Optimization using Optuna framework for LSTM variants.

Hyperparameter Tuning in LSTM using Genetic Algorithm, Bayesian Optimization, Random Search, Grid Search.

种群算法复现(swarm-algorithm)，包括乌鸦搜索(Crow Search Algorithm, CSA)、樽海鞘群算法(Salp Swarm Algorithm, SSA)、缎蓝园丁鸟优化算法(Satin Bowerbird Optimizer, SBO)、麻雀搜索算法(Sparrow Search Algorithm, SSA)、 狼群搜索算法(2007WPS, 2013WPA…

麻雀搜索算法(Sparrow Search Algorithm, SSA)的python实现