受限空间细水雾作用下烟气温度变化规律研究

利用热电偶测量细水雾作用下烟气层不同高度温度，研究雾滴粒径、雾通量和喷头与火源的水平距离等因素对平均细水雾降温速率（V）的影响规律．揭示了细水雾抑制火灾烟气温度的主导机理．利用实验数据推导V与雾通量之间的数学关系，建立V空间分布的三维数学模型，为细水雾技术用于火灾烟气抑制提供理论基础和必要的设计参数．

Quantum-inspired evolutionary tuning of SVM parameters

Common used parameters selection method for support vector machines (SVM) is cross-validation, which needs a long-time complicated calculation. In this paper, a novel regularization parameter and kernel parameter tuning approach of SVM is presented based on quantum-inspired evolutionary algorithm (QEA). QEA with quantum chromosome and quantum mutation has better global search capacity. The parameters of least squares support vector machines (LS-SVM) can be adjusted using quantum-inspired evolutionary optimization. Classification and function estimation are studied using LS-SVM with wavelet kernel and Gaussian kernel. The simulation results show that the proposed approach can effectively tune the parameters of LS-SVM , and the improved LS-SVM with wavelet kernel can provide better precision.