algorithm – SyntaxBug

Classification prediction of probabilistic neural network PNN based on cuckoo algorithm optimization – code attached

Optimizing the classification prediction of probabilistic neural network PNN based on the cuckoo algorithm – code attached Article directory Classification prediction of probabilistic neural network PNN based on cuckoo algorithm optimization – code attached 1. Overview of PNN network 2. Related background of transformer fault diagnosis system 2.1 Model establishment 3. PNN network based on […]

Algorithm {Find the area of the union of horizontal matrices}

Algorithm {Find the area of the union of horizontal matrices} Find the area of the union of horizontal matrices Definition In two-dimensional space, find the area of the union of several matrices (side lengths parallel to the X|Y axis); Properties Algorithm Dynamic scan line ( O ( N ? l o g N ) O(N*logN) […]

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 […]

LC-1334. The city with the fewest neighbors within the threshold distance (Floyd algorithm, memorized search ==> dynamic programming (0x3f))

1334. The city with the fewest neighbors within the threshold distance medium There are n cities, numbered from 0 to n-1. Give you an edge array edges, where edges[i] = [fromi, toi, weighti] represents fromi and toi code> A bidirectional weighted edge between two cities, the distance threshold is an integer distanceThreshold. Returns the city […]

Practical Data Analysis | K-means Algorithm – Analysis of Protein Consumption Characteristics

Table of Contents 1. Data and analysis objects 2. Purpose and analysis tasks 3. Methods and Tools 4. Data reading 5. Data understanding 6. Data preparation 7. Model training ?Edit 8. Model evaluation 9. Model tuning participates in prediction 1. Data and analysis objects txt file – “protein.txt”, mainly records 9 attributes of 25 countries. […]

Clustering algorithm–K-Means algorithm

cluster learning 1. Clustering concept: 1. Unsupervised problem: We have no labels in our hands, and the computer needs to learn the labels by itself. 2. Clustering: In a pile of data, similar things are grouped into a group, and a group is a category, also called a cluster. 3. Difficulty: How to evaluate the […]

Wen Xin Yi Yan VS iFlytek Spark VS chatgpt (134) — Introduction to Algorithms 11.2 6 questions

6. Using Go language, assume that n keywords are stored in a hash table of size m and conflicts are resolved through the chaining method. At the same time, the length of each chain is known, including the length L of the longest chain. Please describe the process of selecting an element uniformly and randomly […]

Basic algorithm ideas (2)

Recursive algorithm 1. Overview of Recursive Algorithm Recursion/recursion can be understood as both an algorithmic idea and an algorithm implementation method. The divide-and-conquer algorithm strategy is mainly implemented through recursion, and large-scale problems are decomposed into small-scale problems; the dynamic programming algorithm is mainly implemented through recursion The core of recursion and recursion is actually […]

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