军事工程毁伤评估的组合智能模型  

Compound intelligent assessment model on military engineering damage mechanism

作　　者：袁辉[1] 王凤山[1,2] 

机构地区：[1]解放军理工大学野战工程学院,南京210007 [2]解放军理工大学指挥信息系统学院,南京210007

出　　处：《计算机工程与应用》2013年第9期23-28,共6页Computer Engineering and Applications

基　　金：中国博士后科学基金(No.20110491844);国家社会科学基金军事学项目(No.12GJ003-054)

摘　　要：鉴于军事工程毁伤的复杂性,提出了基于组合智能评估模式的军事工程毁伤评估模型。以军事工程毁伤评估体系结构及其特征与功能约束为基础,设计军事工程毁伤效果组合智能评估的构件化模式,建立军事工程毁伤效果组合智能评估机制;以智能优化算法提高军事工程毁伤效果评估效率为目标,设计了一种易于仿真推理的军事工程毁伤效果组合智能评估流程。以人工神经网络为主体,集成小波分析和遗传算法,建立军事工程毁伤效果评估的非线性智能组合评估模型,应用于军事工程抗精确打击毁伤分析。案例表明,非线性组合智能评估模型充分发掘不同算法的差异优势,仿真实验验证了组合设计的可行性。Whereas the complexity of damage evaluation operations, damage assessment mechanism is advanced on military engineering based on compound intelligent assessment mode. Based on the damage assessment system structure and its characters and function constraints, mechanism is designed and advanced on the compound intelligent assessment system for military engineering＇ s damage effects; to improve the efficiency of damage assessment for military engineering with intelligent optimization algorithms, a compound assessment workflow is designed for its well simulation reason excellence. As the main integration of neural network, non-linear compound intelligent assessment model is erected on the damage evaluation problem of military engineering with the integration of wavelet transformation, genetic algorithm and other algorithms, which is applied into the precise damage analysis on military engineering. Case shows that this model fully exploits the strengths of different algorithms, whose simulation result verifies the feasibility of the compound design.

关 键 词：组合智能评估 军事工程 毁伤分析 神经网络 遗传算法 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]