基于BP网络的保护渣性能预测模型的研究

结合BP网络计算机实验研究 ,建立了保护渣化学组成与性能的预测模型 ,并利用化学组成与性能的关系 ,对网络的实用性进行了检验 ,结果符合保护渣化学组成与性能的关系。保护渣粘度随着保护渣碱度的增大而减小 ,而半球点温度随碱度增大而增大 ;保护渣的半球点温度和粘度都随着渣中CaF2 含量的增加而减小。用BP网络的误差反向传播算法建立的保护渣的化学组成与性能的预测模型 ,得出的预测值与实际值的误差小 ,对保护渣的设计与应用都有一定的指导作用。     

贵阳国华天成磷业有限公司办公自动化系统的设计

介绍了办公自动化系统的开发、系统设计思想和系统结构，从企业的实际情况出发，提出企业办公自动化系统的基本目标。     

偏最小二乘-神经网络光度法同时测定水中的NO3-和NO2-

应用偏最小二乘-神经网络直接解析硝酸根和亚硝酸根的紫外光谱,不经分离紫外吸光光度法同时测定硝酸根和亚硝酸根。在BP算法上,引用改进的误差传递函数,并采用均匀试验设计法确定了最佳网络运行参数。用于水样中硝酸根和亚硝酸根的同时测定,回收率分别为99.0%,105.0%。     

面向水环境的传感网虚拟距离覆盖算法

针对水面传感器随机部署时网络覆盖率较低的问题,采用了一种面向水环境的无线传感网虚拟距离覆盖算法,在保证连通性的前提下提高网络的覆盖率。在虚拟距离算法中,每个传感器节点的运动受到3个虚拟距离的影响:节点之间的虚拟距离、未被覆盖区域格点与节点的虚拟距离以及边界与节点间的虚拟距离。仿真结果表明:该算法可以有效地提高网络覆盖率。可以得出以下结论:虚拟距离算法通过对节点位置的控制更新有效提高了网络覆盖率,使节点得到优化部署。     

Computer aided detection system for micro calcifications in digital mammograms

Breast cancer continues to be a significant public health problem in the world. Early detection is the key for improving breast cancer prognosis. Mammogram breast X-ray is considered the most reliable method in early detection of breast cancer. However, it is difficult for radiologists to provide both accurate and uniform evaluation for the enormous mammograms generated in widespread screening. Micro calcification clusters (MCCs) and masses are the two most important signs for the breast cancer, and their automated detection is very valuable for early breast cancer diagnosis. The main objective is to discuss the computer-aided detection system that has been proposed to assist the radiologists in detecting the specific abnormalities and improving the diagnostic accuracy in making the diagnostic decisions by applying techniques splits into three-steps procedure beginning with enhancement by using Histogram equalization (HE) and Morphological Enhancement, followed by segmentation based on Otsu's threshold the region of interest for the identification of micro calcifications and mass lesions, and at last classification stage, which classify between normal and micro calcifications ‘patterns and then classify between benign and malignant micro calcifications. In classification stage; three methods were used, the voting K-Nearest Neighbor classifier (K-NN) with prediction accuracy of 73%, Support Vector Machine classifier (SVM) with prediction accuracy of 83%, and Artificial Neural Network classifier (ANN) with prediction accuracy of 77%.     

蛋白质相互作用网络功能模块检测的研究综述

蛋白质相互作用（Protein-protein interaction,PPI）网络是生命活动中一种极其重要的生物分子关系网络,利用计算方法从PPI网络中检测功能模块是目前生物信息学中一项重要的研究课题. 本文首先总结了功能模块检测过程的基本流程,说明了预处理和后处理的作用;其次,提出了一种模块检测方法的分类体系,并对其中一些代表性的检测算法进行了阐述;再次,给出了模块检测常用的数据库、评价指标和相关软件工具,并通过实验对代表性算法进行了性能对比. 最后,通过对该领域挑战性问题的分析预测了模块检测未来的研究方向,以期对相关研究提供一定的参考.     

基于智能决策的火箭安控系统

火箭在飞行过程中经常发生各种故障,因此需要对其飞行状态进行监视、判断,及时有效地做出相应的安全控制决策。在分析原有火箭安控系统的基础上,针对火箭飞行的特点及不确定的规则知识,提出了基于智能决策的火箭安控系统。首先给出了集弹道数据处理和安全控制决策于一体的计算机决策支持系统模型;然后根据安控系统的特点,对安控知识进行分类,给出了安控系统知识不确定的表示方法,形成了相应的安控决策网络;最后以Visual C++6.0为开发平台,构建了安控推理决策模型,给出相应的推理流程。仿真实验表示,该方法能实时监测出火箭的飞行状态,对其进行有效的管理,为安控领域专家的最终决策提供支持。     

网络计费系统的设计与实现

网络计费系统可以统计网络用户所应承担的费用,监控网络的数据流量,分析网络的使用情况及性能,发现网络的瓶颈、故障点和某些异常等。讨论了计费系统的开发方法,通过对IP用户和拨号用户接入方式和适用计费协议的分析,提出了使用简单网络管理协议(SNMP)进行固定IP用户上网流量的数据采集,使用远程身份验证拨入用户服务(RADIUS)进行拨号用户上网时间的数据采集,在Windows平台采用VisualC++ NET工具实现了数据采集功能,用ASP NET实现了计费数据的处理,建立用户管理与系统管理模块,开发了网络计费系统。     

Nonlinear multiobjective model-predictive control scheme for wastewater treatment process

A nonlinear multiobjective model-predictive control (NMMPC) scheme, consisting of self-organizing radial basis function (SORBF) neural network prediction and multiobjective gradient optimization, is proposed for wastewater treatment process (WWTP) in this paper. The proposed NMMPC comprises a SORBF neural network identifier and a multiple objectives controller via the multi-gradient method (MGM). The SORBF neural network with concurrent structure and parameter learning is developed as a model identifier for approximating on-line the states of WWTP. Then, this NMMPC optimizes the multiple objectives under different operating functions, where all the objectives are minimized simultaneously. The solution of optimal control is based on the MGM which can shorten the solution time. Moreover, the stability and control performance of the closed-loop control system are well studied. Numerical simulations reveal that the proposed control strategy gives satisfactory tracking and disturbance rejection performance for WWTP. Experimental results show the efficacy of the proposed method.