本文基于支持向量机（SVM）和改进的粒子群优化（IPSO）算法（SVM-IPSO）创建了双向预测模型，以预测碳纤维的性能和生产参数。 在SVM中，选择对预测性能有重要影响的参数至关重要。 提出了IPSO对它们进行优化的方法，然后将SVM-IPSO模型应用于碳纤维产量的双向预测。 SVM的预测精度主要取决于其参数，因此利用IPSO来寻找SVM的最佳参数，以提高其预测能力。 受小区通信机制的启发，我们通过将全球最佳解决方案的信息纳入搜索策略来提出IPSO，以提高开发效率，并采用IPSO建立双向预测模型：在前向预测的方向上，我们认为富有成效参数作为输入，属性索引作为输出； 在向后预测的方向上，我们将性能指标视为输入，将生产参数视为输出，在这种情况下，该模型成为新型碳纤维的方案设计。 来自一组实验数据的结果表明，该模型的性能优于径向基函数神经网络（RNN），基本粒子群优化（PSO）方法以及遗传算法和改进的粒子群优化（GA- IPSO）方法在大多数实验中都是如此。 换句话说，仿真结果证明了SVM-IPSO模型在处理预测问题方面的有效性和优势。

mc9s12dp256 CCP EEPROM 利用vector提供的驱动实现 CCP 下位机 SLAVER 附带标准CCPdriver 文件 PCAN上位机 MASTER

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This paper takes the p-adic representation of integers as the research object to realize the distance measurement of integers in the p-adic metric space. The authors firstly apply the Euclidean algorithm to infer the coefficients of a positive integer in polynomial representation, whose corresponding negative integer can be obtained with the help of the similar solution method of binary complement; secondly, the coefficients are respectively mapped into from mod p to mod the n-th power of p laye

By applying support vector regression, the modeling data of rice leaves collected in our study were grouped into sample training set and test set, and three machine learning prediction models on rice growing environment against leaf blade length, width and SPAD value were constructed..

We present the generation of the nanosecond cylindrical vector beams (CVBs) in a two-mode fiber (TMF) and its applications of stimulated Raman scattering. The nanosecond (1064 nm, 10 ns, 10 Hz) CVBs have been directly produced with mode conversion efficiency of ～18 dB (98.4%) via an acoustically ind

A novel scheme of photonic aided vector millimeter-wave (mm-wave) signal generation without a digital-to-analog converter (DAC) is proposed. Based on our scheme, a 20 Gb/s 4-ary quadrature amplitude modulation (4-QAM) mm-wave signal is generated without using a DAC. The experiment results demonstrat

Support vector machines based defect recognition in SonicIR using 2D heat diffusion features

此视频是Vector中国关于其产品VectorCAST的介绍，对于需要代码测试工作的人员有很大帮助，