源码文件
function D = Minimum_Cost(train_features, train_targets, lambda, region) % Classify using the minimum error criterion via histo…
Decision 源代码
决策技术（Decision）是现代电子系统设计中不可或缺的一环，广泛应用于自动化控制、人工智能及数据分析等领域。通过高效算法与模型，Decision技术帮助工程师实现复杂系统的智能优化与管理。掌握这一技能，不仅能够提升项目开发效率，还能增强解决方案的灵活性与可靠性。本站提供77个…
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源码文件
function D = Perceptron_Batch(train_features, train_targets, params, region) % Classify using the batch Perceptron algorithm %…
源码文件
function D = None(train_features, train_targets, Params, region) % Make no classifications (Dummy function) % Inputs: % feat…
源码文件
function [decision, P] = Bayesian_Belief_Networks(net, data) % Find the most likely decision given a Bayesian belief network an…
源码文件
function D = ML(train_features, train_targets, AlgorithmParameters, region) % Classify using the maximum-likelyhood algorithm …
源码文件
function [D, a] = Relaxation_SSM(train_features, train_targets, params, region) % Classify using the single-sample relaxation w…
源码文件
function D = Perceptron_VIM(train_features, train_targets, params, region) % Classify using the variable incerement Perceptron …
源码文件
function [p]=ss_Pe(snr_in_dB,Lc,A,w0) snr=10^(snr_in_dB/10); sgma=1; Eb=2*sgma^2*snr; E_chip=Eb/Lc; N=1000; num_of_err=0; f…
源码文件
function [p]=smldPe57(snr_in_dB) % [p]=smldPe57(snr_in_dB) % SMLDPE57 simulates the probability of error for the given % snr…
源码文件
function [p]=smldPe58(snr_in_dB) % [p]=smldPe58(snr_in_dB) % SMLDPE58 simulates the probability of error for the given % snr…