Multiple Layer BP Neural Network for Fuzzy Calculating

The FCBP(Fuzzy calculating BP) algorithm which is proposed by this paper hasovercome the sensitivity for samples,reduced the number of input layer's samples,lightened the burden of input layer.it is suitable to fuzzy inference and pattern recognition.     

An Evidential Analysis on the Rural Urbanization Development in Chongqing

The rural urbanization process in Chongqing is much slower than that in other metropolitans and most of the provinces in eastern China, which can't adapt to its important function as the economic and cultural center in southwestern China.It is urgent for Chongqing to accelerate the rural urbanization for improving its whole urbanization level and speeding up its economy development to catch up with other metropolitans and some advanced provinces.Compared with the urbanization in other metropolitans and some provinces, the authors demonstrated the rural urbanization situation and its characteristics in Chongqing in details, analyzed the reasons for the poor urbanization and its influences on the social-economic development especially that in the rural area.Inferior position of Chongqing's small towns in the market competition with those from other provinces is one of the results of its poor urbanization development.At last, the authors suggested a few practical countermeasures to improve the rural urbanization in order to get a rapid and sustainable rural development and to increase the whole economic effects of the metropolitan.     

Learning the BN Structure Based on the Sum of Mutual Information

The Crossing Entropy is defined to scale the similar level of two probability distribution. In many papers on learning BN structure,the Crossing Entropy was used as an indicator of measuring the learning accuracy of an algorithm.The known scoring metrics for learning BN structure is analyzed in this paper,then a new scoring metrics Sum of Mutual Information is proposed based on the information theory.At last,two algorithm for learning BN structure by SIM is represented.     

Clustering Routing for Wireless Sensor Networks

In wireless sensor networks that consist of a large number of low-power sensors.Because the sensor's energy is limited,one of the main design is to obtain long system lifetime.The authors firstly analyse LEACH and LEACH-C clustering routing for wireless sensor networks.Aimming at their shortcoming,they present a new routing LEACH-NEW.This routing uses multi ho Pinstead of one hop.At last,they use NS2 to simulate them.Simulation show results that new routing exhibits noticeably longer system lifetime than rouing LEACH and LEACH-C.     

世界棉花育种科技水平进展与发展对策

９０年代以来，世界棉花育种的特点为：（１）以提高单产为主要目标；（２）以提高纤维品质为主要目标；（３）以保护环境为主要目标。通过不同的育种途径，棉花育种成绩斐然，为人类的发展提供了重要的物质基础。２０００年前，中国棉花育种对策的重点应（１）加强基础研究；（２）改革现行流通体制；（３）改进原棉检测手段；（４）育种目标与市场反馈信息结合。     

基于LS-SVM的小水电站年发电量智能预测模型

针对小水电站年发电量序列的特点,将最小二乘支持向量机(least squares support vector machine,LS-SVM)回归模型引入年发电量预测领域,并给出了相应的过程和算法。与常规基于人工神经网络(artificial neural net-works,ANN)的智能预测方法比较,该模型优点是明显的:①将神经网络迭代学习问题转化为直接求解多元线性方程;②整个训练过程中有且仅有一个全局极值点,确定了预测的稳定性。最后,一个实际的预测例子表明:该模型实现容易、预测准确,适用于小水电站预测。     

基于混沌算法的工程车辆自动变速神经网络控制

为了克服BP神经网络收敛速度慢和易陷入局部极小点的不足，提出了一种基于混沌算法的工程车辆自动变速神经网络控制方法，并利用ZL50型装载机传动系统换挡控制试验的数据进行了验证性仿真试验。仿真结果表明：该方法对于车辆自动换挡智能控制是可行的，可以根据操作工况实现正确的变速挡位决策。     

基于地下水合理埋深的井渠结合灌区水资源联合调控

以泾惠渠灌区为例,针对井渠结合灌区地下水超采及地下水位上升而导致的农田灌溉水环境等问题,从水位调控水量的角度出发,提出了基于地下水位合理埋深的水资源调控模式。在确定不同水文地质单元和不同植被类型条件下地下水位合理埋深上下限的基础上,结合PSO-RBF神经网络对地下水位埋深预测的结果,设计了基本、节水两种水资源联合方案,对不同保证率下的灌区水资源进行了联合调控。结果表明:泾惠渠灌区地下水位合理埋深上限介于1.76~3.50m,下限介于8.7~25.0m,不同水文地质单元、植被类型的水位埋深上下限值差异较大;水资源联合调控时,局部地区出现地下水超采,需加强节水灌溉和多水源的联合调控。     

基于GIS技术的小型水库规划方法

在小流域治理中，为了提高水库规划的精确度和速度，提出了基于GIS技术来实现小型水库规划的方法。主要是基于GIS技术的库客曲线的制作方法；小型水库规划的可视化。在GIS中，真实地形在计算机中的表达用数字高程模型(DEM)表示，水库规划的三维可视化环境的实现需利用0penGL技术。