Programmer Think

Visual introduction of RBF Many articles on the network must speak better about the specific principle of RBF than I do, so I don't need to talk. Here is only some intuitive understanding of RBF network 1 RBF is a two-layer network Yes, RBF is not complex in structure. There are only two layers: hidden layer and output layer. The model can b ...

1. The wolf species in the wolf swarm algorithm are divided into the following types: Head wolf, probe wolf, fierce wolf. 2. Prey distribution rules: reward on merit, first strong and then weak. 3. The main body of the wolf swarm algorithm is composed of three intelligent behaviors: exploring wolf wandering, head wolf calling and fierce wolf ...

RRT algorithm, also known as fast random expansion number algorithm, is a universal path planning algorithm. Why it is a universal algorithm, because it is highly possible to find a path under any harsh conditions. However, such algorithms often have disadvantages: 1. Every iteration is to find points randomly, which leads to the fact that th ...

1, Introduction to cuckoo algorithm Cuckoo algorithm is called Cuckoo search (CS algorithm) in English. First of all, let's introduce the English meaning of this algorithm. Cuckoo means cuckoo bird. What is cuckoo bird? It is a bird called cuckoo, o(∩∩) o. this bird's mother is very lazy. She lays her own eggs and doesn't raise them he ...

1, Introduction 1 Overview BP (Back Propagation) neural network was proposed by the scientific research team headed by Rumelhart and McCelland in 1986. See their paper learning representations by Back Propagation errors published in Nature. BP neural network is a multilayer feedforward network trained by error back propagation algorithm. It i ...

Bees collect honey Bees in nature can always find high-quality honey sources with high efficiency in any environment, and can adapt to environmental changes. The honey collection system of honeybee colony consists of three parts: honey source, hired bee and non hired bee. The advantages and disadvantages of one honey source have many elements, ...

preface Why did I talk about functions once before and I have to talk about them again now? The first reason is that I said too little before. The second reason is that functions are very important! Very important! Very important! Say something important three times. After all, I started to write a quick start, which is inevitably missing ...

1, Introduction to SVM General framework of machine learning: Training set = > extract feature vector = > combine with certain algorithms (classifiers: such as decision tree and KNN) = > get the result 1 SVM definition support vector machines (SVM) is a binary classification model. It maps the feature vector of an instance to some poi ...

I. Introduction This paper includes three parts: 1) introduction, 2) introduction and code implementation of image change technology, 3) digital watermarking technology and code implementation based on image transformation technology. Digital watermarking is an effective technology for copyright protection and data security maintenance of d ...

1. Introduction to DNA Chaotic System Image Encryption Image encryption based on DNA encoding uses DNA encoding by dividing the image into blocks, generating a key through the CHEN hyperchaos system, and decoding the encrypted image after special DNA operations. Logistic chaos is very simple, not to mention how complex it is. The Logistic func ...