FunCon

matlab codes for segmentation

说明：  LSTM 的例子 单向LSTM 双向LSTM 多层LSTM(LSTM long short term memory)

fuzzy model single input single output

convex optimizationconvex optimization algo new mit dimtri bertskas lession 2

基于改进的SLM算法来估计波达方向DOA，给出了仿真模型、结果及分析。(SLM based on an improved algorithm to estimate DOA DOA, the simulation model, results and analysis.)

threshold signcryption based on ecc

说明：  降低ofdm系统峰均比（clipping_slm_pts源码）绝对可以运行 (PAPR reduced OFDM system (clipping_slm_pts source) absolutely can run)

基于支持回归向量机的端点延拓程序解决EMD端点效应，包括向左延拓和向后延拓。(EMD solve end effect based on support vector machine regression endpoint extension programs, including the left rear extension and extension.)

Modelo de dos rayos de Andrea Goldsmith (figura 2.5, según expresión 2.12) f = 0.9 frecuencia en GHz landa = 0.3/f en m R = -1 coeficiente de reflexión en tierra ht = 10 altura del transmisor en m hr = 2 altura del receptor en m Gt = 1 Gr = 1 Pt = 1 d=10:.1:100000 phase_diff = 4*pi*ht*hr./(landa*d) aproximación Pr = Pt*((landa/(4*pi))^2)*((abs((sqrt(Gt)./d) + (R*sqrt(Gr).*(exp(-sqrt(-1)*phase_diff)))./d)).^2) Pr = Pt*((landa/(4*pi))^2)*(1./d).*((abs((sqrt(Gt)) + (R*sqrt(Gr).*(exp(-sqrt(-1)*phase_diff))))).^2) figure(1), clf, plot((d),10*log10(Pr/max(abs(Pr)))) grid xlabel( log_1_0(d) ) ylabel( Potencia recibida (dBm) )

提出了一种新的算法结构,通过建立“局部环境因数”模型,利用集中式处理模式,动态 分配全局勘探和局部开采子种群比例,有效地实现分工目的,平衡算法的局部和全局搜索能力。将其 应用到两个不同类型的实际工程约束优化问题中进行验证,并与其他文献的改进算法进行了对比。 实验结果表明,该算法比其他改进算法在计算精度、效率、鲁棒性上都有很大的提高(Anewalgorithmarchitecturewasproposed. Inorder to adjust effectively the ratioof exploration subgroup versusexploitationone, the algorithmadopted the centralizedprocessingtechnique toconstruct the local environment factor, andbalancedthe local andglobal searchcapabilitiesof the algorithm. Furthermore, comparedwithother improvedintelligent algorithms, experimental results got from the application and verification of real constrained engineering design problem indicate that the algorithmperformsbetter intermsof accuracy, efficiencyandrobustness)