?About the author: A Matlab simulation developer who loves scientific research. He cultivates his mind and improves his technology simultaneously. For cooperation on MATLAB projects, 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 content, click Intelligent optimization algorithm […]
Tag: edi
[High-intensity focused ultrasound simulator] Simulate high-intensity focused ultrasound beams and heating effects in layered media (Matlab code)…
?About the author: A Matlab simulation developer who loves scientific research. He cultivates his mind and improves his technology simultaneously. For cooperation on MATLAB projects, 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 content, click Intelligent optimization algorithm […]
Nest + Redis + map to realize nearby power bank
Everyone must have taken a taxi. Taxi-hailing software can search for nearby vehicles based on your current location: During these two days of National Day, if you go out to play, you may borrow a shared power bank. It also searches for nearby power banks based on your location: Then everyone searches for nearby hotels, […]
[Unity C#_Menu Window Development Series_Inspector Component UnityEditor Development]
GUI series operations 1. Enumeration menu implementation File 1: Assets/MyScript/Test1.cs code show as below: File 2: Assets/MyScript/Editor/Test1Editor.cs code show as below: have a test Create a new scene and create an Empty node to test the enumerated components. Drag file 1: Assets/MyScript/Test1.cs to the Game Object’s Inspector panel. Implemented a simple enumeration menu: 2.Window menu […]
BO-LSTM regression prediction | Matlab Bayesian algorithm optimizes long short-term memory network regression prediction
?Abouttheauthor:AMatlabsimulationdeveloperwholovesscientificresearch.Hecultivateshismindandimproveshistechnologysimultaneously.ForcooperationonMATLABprojects,pleasesendaprivatemessage. Personalhomepage:MatlabResearchStudio Personalcredo:Investigatethingstogainknowledge. FormorecompleteMatlabcodeandsimulationcustomizationcontent,click IntelligentoptimizationalgorithmNeuralnetworkpredictionRadarcommunicationWirelesssensorPowersystem SignalprocessingImageprocessingPathplanningCellularautomatonDrone Contentintroduction Inthefieldofmachinelearningandartificialintelligence,regressionpredictionoftimeseriesdataisanimportantproblem.Longshort-termmemory(LSTM)isarecurrentneuralnetwork(RNN)architecturewidelyusedtoprocesstimeseriesdata.However,theperformanceoftheLSTMmodelishighlydependentonthechoiceofitshyperparameters,whichmakesthetuningofthemodelverydifficult.Tosolvethisproblem,wecanuseBayesianoptimizationtoautomaticallyfindtheoptimalhyperparameterconfiguration. Bayesianoptimizationisamethodtooptimizetheobjectivefunctionbyselectingsuitablecandidatepointsinthesearchspace.Itestimatestheperformanceoftheobjectivefunctionbybuildingasurrogatemodelandusesthismodeltoguidethesearchprocess.Inthiscase,wecanuseBayesianoptimizationtosearchforahyperparameterconfigurationoftheLSTMmodelthatmaximizestheaccuracyoftheregressionprediction. BO-LSTMisanLSTMmodelbasedonBayesianoptimization,whichcombinestheadvantagesofBayesianoptimizationandLSTMmodels.ThecoreideaofBO-LSTMistoselectthehyperparameterconfigurationoftheLSTMmodelthroughBayesianoptimizationandusetheseconfigurationstotrainandpredicttimeseriesdata.ByiterativelyusingtheBayesianoptimizationalgorithm,BO-LSTMcangraduallyimprovetheperformanceofthemodel,resultinginmoreaccurateregressionpredictions. InordertoimplementtheBO-LSTMmodel,weneedtodefinethehyperparameterspaceandobjectivefunctionoftheLSTMmodel.Thehyperparameterspaceincludesthehiddenlayersize,learningrate,numberofiterations,etc.ofLSTM.Theobjectivefunctioncanbetherootmeansquareerror(RMSE)orthemeanabsoluteerror(MAE)oftheregressionprediction.Bayesianoptimizationalgorithmswillselectcandidatepointsinthehyperparameterspaceanduseanobjectivefunctiontoevaluatetheirperformance.Byiterativelyselectingcandidatepointsandupdatingthesurrogatemodel,Bayesianoptimizationalgorithmscangraduallyimprovetheperformanceofthemodel. TheadvantageofBO-LSTMisthatitcanautomaticallyfindtheoptimalhyperparameterconfigurationwithoutmanualtuning.Thismakesthemodeltrainingandpredictionprocessmoreefficientandaccurate.Inaddition,BO-LSTMcanalsoadapttodifferenttimeseriesdataandachievegoodperformanceondifferentproblems. However,BO-LSTMalsohassomelimitations.First,Bayesianoptimizationalgorithmsarecomputationallyexpensive,especiallywhenthehyperparameterspaceislarge.Secondly,theperformanceofBO-LSTMishighlydependentonthechoiceofobjectivefunctionandthedefinitionofthehyperparameterspace.Therefore,beforeusingBO-LSTM,weneedtocarefullyselecttheobjectivefunctionandhyperparameterspacetoensurethebestresults. Tosumup,thelongshort-termmemoryBO-LSTMmodelbasedonBayesianoptimizationisapowerfultoolforregressionpredictionoftimeseriesdata.Itimprovestheperformanceofthemodelbyautomaticallyselectingtheoptimalhyperparameterconfigurationandachievesgoodresultsinpractice.However,westillneedtopayattentiontothelimitationsofBO-LSTMandmakereasonableadjustmentsandimprovementsaccordingtotheneedsofspecificproblems. Partofthecode %%Example’GpsMultiCorrelator’#3:Generationofenergymatricesresultingfromnon-coherentintegrationswithdifferentperiods % %Generationofenergymatricesresultingfromtheaccumulationofnon-coherentcorrelationresults,overdifferentperiods,between: %-AreceivedsignalincludingaGPSsignal, %-AlocalsignalmatchingintermsofPRN,Dopplerandcodephase. %Parameters SamplingPeriod=100e-9; CarrierFrequency=0; PRN=3; CN0=45*10; Doppler=0; CodePhase=0; Duration=25e-3; %Creationof’GpsSignals’object GPS=… GpsSignals(‘SamplingPeriod’,SamplingPeriod,… ‘CarrierFrequency’,CarrierFrequency,… ‘NextValues’,’replace’,… ‘PRN’,PRN,… ‘CN0’,CN0,… ‘Doppler’,Doppler,… ‘CodePhase’,CodePhase); %Creationof’GpsMultiCorrelator’object MultiCorrelator=… GpsMultiCorrelator(‘SamplingPeriod’,SamplingPeriod,… ‘CarrierFrequency’,CarrierFrequency,… ‘FilterFrequencies’,-4000:500:+4000-500,… ‘CorrelatorCodePhases’,-4:0.5:+4-0.5,… ‘PRN’,PRN,… ‘Doppler’,Doppler,… ‘CodePhase’,CodePhase,… ‘CodePhaseIncrement’,0,… ‘NonCoherentIntegrationPeriod’,5e-3); forn=1:6 %Signalduration/non-coherentintegrationperiod Duration=n*5e-3; %UpdateofGPSsignals GPS.update(‘Duration’,Duration); %Settingofnon-coherentintegrationperiod MultiCorrelator.set(‘NonCoherentIntegrationPeriod’,Duration); […]
Centos7 installs the latest stable version of Redis7.x | Configure startup (hardcore level | nanny level)
Advanced syntax and practical combat of classes in Python3 Python3 (basic | advanced) syntax practice (|multi-threading|multi-process|thread pool|process pool technology)|solutions to multi-thread security issues Python3 data science package series (1): Practical data analysis Python3 data science package series (2): Practical data analysis Python3 data science package series (3): Practical data analysis Win11 View the installed Python […]
NGO-CNN-SVM classification prediction | Matlab Northern Goshawk algorithm optimizes convolutional neural network-support vector machine classification prediction…
?About the author: A Matlab simulation developer who loves scientific research. He cultivates his mind and improves his technology simultaneously. For cooperation on MATLAB projects, 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 content, click Intelligent optimization algorithm […]
PSO-BP classification prediction | Matlab particle swarm optimization algorithm optimizes BP neural network classification prediction
?About the author: A Matlab simulation developer who loves scientific research. He cultivates his mind and improves his technology simultaneously. For cooperation on MATLAB projects, 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 content, click Intelligent optimization algorithm […]
SMA-BP regression prediction | Matlab slime mold optimization algorithm optimizes BP neural network regression prediction
?About the author: A Matlab simulation developer who loves scientific research. He cultivates his mind and improves his technology simultaneously. For cooperation on MATLAB projects, 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 content, click Intelligent optimization algorithm […]
GWO-BP regression prediction | Matlab gray wolf optimization algorithm optimizes BP neural network regression prediction
?About the author: A Matlab simulation developer who loves scientific research. He cultivates his mind and improves his technology simultaneously. For cooperation on MATLAB projects, 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 content, click Intelligent optimization algorithm […]