Neural Network Algorithm in Intelligent Optimization (With Matlab Code)

Neural Network Algorithm in Intelligent Optimization (With Matlab Code)

Basic Mathematical Principles The main differences in artificial neural network models lie in the topology of the neural network connections, the characteristics of the neurons, and the scale of learning, etc. Based on the differences in the topology of neuron connections, we can roughly categorize neural network models into the following two types. 1. Feedforward … Read more

Forecasting Electricity Prices Based on Fuzzy Neural Network Algorithm

1 Overview In recent years, with the increasing prominence of energy shortages and environmental issues, various forms of clean energy such as solar and wind energy have been widely applied. Microgrids, as an effective means of integrating distributed power sources into the grid, have developed rapidly. The integration of a large amount of new energy … Read more

Overview of K-Means Clustering

Overview of K-Means Clustering

Recently, I have been reading the book “Machine Learning in Action” because I want to delve deeper into machine learning algorithms, and since I want to learn Python, I chose this book to study based on my friend’s recommendation. Before writing this article, I had some understanding of FCM, so I feel an inexplicable affinity … Read more

Introduction to Computer Vision: Mobile Product Barcode Detection Solutions

Introduction to Computer Vision: Mobile Product Barcode Detection Solutions

Click on the above “Beginner Learning Vision“, select to add “Star” or “Top“ Important content delivered at the first time 1. Project Content This solution will build a machine vision-based assembly line detection platform for mobile barcodes. The product is placed on the assembly line, and a high-speed industrial camera captures it one by one … Read more

Data Regression Prediction Using CNN with MATLAB Code

Data Regression Prediction Using CNN with MATLAB Code

1 Content Introduction The safe and stable operation of the power system is closely related to the development of the national economy and the safety of personal property. Accurate short-term load forecasting results are important for the power grid to guide the power system in formulating generation plans, coordinating unit operations, scheduling load distribution, and … Read more

Top 5 Programming Languages for Image Recognition

Top 5 Programming Languages for Image Recognition

The recent launch of mini-programs and apps related to garbage classification has once again brought image recognition into the spotlight. In China, image recognition technology ranks among the top in the world. Prior to this, many technologies have been applied to image recognition, such as Alipay’s facial recognition payment, facial recognition entry to hotels, and … Read more

A Beginner’s Guide to Computer Vision

A Beginner's Guide to Computer Vision

Persisting with originality, click the blue text above to followme! Computer Vision is an important field of artificial intelligence technology. To put it metaphorically (though not necessarily accurately), I believe computer vision is the eye of the artificial intelligence era, highlighting its significance. Computer vision is actually a grand concept, and the image below summarizes … Read more

GA-CNN-BiLSTM-Attention Series for Multivariate Time Series Prediction

GA-CNN-BiLSTM-Attention Series for Multivariate Time Series Prediction

Reading time required 6 minutes Speed reading only takes 2 minutes Please respect original labor achievementsPlease indicate the link of this article and the author: Machine Learning Heart Click to read the original text or copy the following link to the browser to get the complete source code and data of the article: https://mbd.pub/o/bread/mbd-Z56VmZtt Abstract: … Read more

Data Generation Method Based on 1D-GAN (Includes Matlab Code)

Data Generation Method Based on 1D-GAN (Includes Matlab Code)

The powerful feature representation and nonlinear fitting capability of deep neural networks stem from sufficient learning on high-quality datasets. However, in practical engineering applications, due to economic and labor costs, acquiring a large amount of typical labeled data becomes extremely challenging, resulting in avery limited number of training samples. Data augmentation methods provide a simple … Read more

Time Series Prediction Using LSTM Neural Network

Time Series Prediction Using LSTM Neural Network

Click the blue text to follow us Happy New Year, wishing you good fortune in the Year of the Dragon Happy Spring Festival LSTM Neural Network Time Series Prediction Given a simple dataset, we use Long Short-Term Memory (LSTM) neural networks to implement time series prediction, with the ReLU function as the activation function. The … Read more