神经微粒

Based on the Laser Doppler technology, Information technology, Image Recognition and Process tenology, the laser image characteritics of ultra-fine and non-spherical particles are studied. The laser image recognition method based on neural network theory are obtained. The associated hardware and computer software for analysis of the shape characteristics are developed. The shape characteristics of typical particles such as fire smoke particle and carborundum are studied by using such method. The results of this project are useful to develop the new reliable, accurate and rapid experimental diagnoses technology.

本项目综合应用激光多普勒技术、信息技术和计算机图像识别处理技术，研究了非球形超细微粒的激光影像形成规律，建立了基于神经网络理论的粒子形状特性测量方法并发展了相应的硬件系统及其计算分析软件，并利用该系统研究了火灾烟雾颗粒、金刚砂等典型非球形超细微粒的形状特性，已初步形成了可靠、准确、快捷的新型实验诊断方法，为进一步发展实用的非接触诊断技术提供条件。

Application of stochastic particle swarm optimization learning a neural network weights.

详细说明：应用随机微粒群算法学习一个神经网络的权值。

A Multi-Species Cooperative PSO algorithm is developed using the ideas of species dividing in the bionomical world. The algorithm is shown to have guaranteed convergence to the global optimum. Furthermore, the training strategies of RBF network structures and weights based on the MCPSO aigorithm is proposed. Simulation results show that the algorithm is effective in such fields as chaotic time-sequence forecasting, system identification, speech signal processing and etc.

在分析基本微粒群算法和协同微粒群算法特点的基础上，借鉴生态学中的种群划分思想，设计出一种多种群协同进化微粒群算法，并分析了该算法的收敛性能；在分析径向基函数神经网络结构的基础上，提出了基于多种群协同进化微粒群算法的径向基函数神经网络结构和权值优化设计策略，并在混沌序列预测、系统辨识、语音信号处理等应用仿真实验中验证了算法的有效性。

METHODS: The suspension of bletilla particles or bletilla gum was injected into the right internal carotid artery after the external carotid artery was exposed in Wister rats. In a certain period after operation, the assessment of neurological defects, red tetrazoline staining and HE staining were performed.

手术暴露大鼠右侧颈部血管，向右颈内动脉注入一定量的白芨微粒悬液或白芨胶，在术后一定时间内进行神经功能缺失评分、大脑切片红四氮唑染色和组织学H.E染色。

Then pebrine was recognized and classified by neural network based on genetic algorithm.

采用基于遗传算法的神经网络分类器对于微粒子进行了识别。

The algorithm for optimizing parameter is applied and effective,and is much better than that of common Genetic Algorithm,and has good perfectible application future.

文献[2]提出用模糊控制算法整定PID参数，文献[3]将Bang-Bang控制与神经网络自适应控制相结合，利用神经元的学习功能构成了一种自适应PID控制器，文献[4]以蚁群系统和蚁群算法为基础，提出了一种新的具有不完全微分的最优PID控制器的设计方法，文献[5]提出一种利用改进微粒群算法优化PID参数的方法。

Singer Leona Lewis and former Led Zeppelin guitarist Jimmy Page emerged as the bus transformed into a grass-covered carnival float, and the pair combined for a rendition of "Whole Lotta Love".

歌手leona刘易斯和前率领的飞艇的吉他手吉米页出现巴士转化为基层所涵盖的嘉年华花车，和一双合并为一移交&整个lotta爱&。

This is Kate, and that's Erin.

这是凯特，那个是爱朗。