5 results about "ID3 algorithm" patented technology

The application discloses a kind of city communication node failure early warning systems based on AI prediction, including following module: data acquisition and pre-processing module, for collecting and pre-processing city communication node original data;Feature extraction module, for through ChebNet graph convolutional neural network, using Chebyshev polynomial carries out feature extraction;City communication graph construction module, for calculating the Euclidean distance between nodes to build city communication graph;Information gain calculation module, for using improved ID3 algorithm to calculate the information gain of each node feature, generates fault classification decision tree;Fault classification graph construction module, for obtaining fault classification graph according to split rule;Fault early warning information generation module, for generating fault early warning information according to fault classification graph.The application is based on ChebNet and improved ID3 algorithm, realizes the efficient and accurate city communication node failure early warning system.

The invention discloses a text expectation consistency evaluation method and system based on an ID3 algorithm, and relates to the crossing field of text analysis and data mining, and the process of the method comprises the following four steps: 1, collecting multi-source text and expert experience data, and generating a structured feature data set through cleaning, OCR conversion, word segmentation and TF-IDF extraction; 2, constructing a general index library and a special index library, and dynamically adjusting weights; 3, training an ID3 decision tree by using the labeled historical text to realize matching of classification of the to-be-evaluated text and the reference text, and changing a C4.5 adaptive complex text; fourthly, scores and grades are calculated according to three indexes such as the text target coverage rate in a weighted mode, manual abnormal value correction is supported, and Top5 similar reference texts are recommended. The problems that in the prior art, index construction depends on manpower, evaluation is one-sided, and algorithm interpretation is weak are solved, and the method is suitable for scenes such as enterprise document auditing, academic paper checking and government affair text specification checking.

This application provides a method and related equipment for identifying water traffic events in port waters, belonging to the field of intelligent transportation technology. The method includes: acquiring first port data within a target port waterway; wherein the first port data includes vessel AIS data and port business data; preprocessing the first port data to obtain second port data; constructing preset semantic feature data based on the second port data; and identifying traffic events using a preset event recognition decision tree model based on the preset semantic feature data to obtain traffic event type data; wherein the preset event recognition decision tree is constructed based on the ID3 algorithm. This application can effectively improve the accuracy of identifying water traffic events in port waters and enhance the reliability and generalization ability of event recognition in complex water environments.

The invention discloses a household garbage incineration emission monitoring method based on atmospheric ecological management and control, and relates to the technical field of solid waste treatment.The method comprises the steps that a garbage incineration pollutant detection sample list is established based on historical experience and a garbage incineration pollutant detection database; based on an ID3 algorithm, calculating information gains of each feature item and the sample list; based on information gain comparison, screening a maximum value as a leaf node; based on the information gain and the leaf nodes, constructing a decision tree model, and screening an optimal detection mode through the decision tree model; the decision tree model is optimized based on a post pruning strategy, and the efficiency and accuracy of screening the waste incineration pollutant detection mode are improved; and establishing a waste incineration pollutant detection ledger management platform for recording, analyzing and managing waste incineration pollutant detection data. The method has the advantages that the detection efficiency is improved, rapid early warning is made for the concentration of pollutants around the sample, and a processing decision is made in time.

The invention relates to an industrial heterogeneous network scheduling algorithm matching method based on an improved decision tree ID3 algorithm, and belongs to the technical field of industrial Internet of Things, and the method comprises the following steps: S1, a user builds a network topology selection use scene at the front end of an industrial heterogeneous network collaborative scheduling subsystem, and inputs a scheduling demand; s2, the industrial heterogeneous network collaborative scheduling subsystem transmits parameters according to user scheduling requirements, and constructs and trains an industrial heterogeneous network scheduling algorithm matching model based on an improved decision tree ID3 algorithm; and S3, deploying the industrial heterogeneous network scheduling algorithm matching prediction model to the rear end of an industrial heterogeneous network collaborative scheduling subsystem, adding environmental dependence, and transmitting demand information by the front end of the industrial heterogeneous network collaborative scheduling subsystem through an API endpoint, and the industrial heterogeneous network scheduling algorithm matching prediction model receives the parameters, and a matching result is returned to the front end of the industrial heterogeneous network collaborative scheduling subsystem.