余数制神经网络

提出了一种新的神经元模型，其数据和权值用余数制表示，称之为余数制神经元．它的处理能力等效于一些多层感知机模型．同时提出用中国余数定理重构信号，等效于神经元之间的非线性连接．将此模型用于分类，其单层网络可用于解高阶和边界模糊问题     

钙拮抗剂异博定增强博来霉素A_5对人肝癌BEL-7402细胞的毒性作用

应用肿瘤细胞增殖抑制、克隆形成、流式细胞术,研究了钙拮抗剂异博定(Ver)与博来霉素A_5(BLM A_5)对人肝癌BEL-7402细胞的影响.结果表明:无细胞毒性作用的Ver(20μmol)增强BLM A_5对人肝癌BEL-7402细胞增殖抑制作用达4倍;100μmol Ver增强BLM A_5毒性达11倍;与BLM A_5单独作用比较,Ver使G_2M期细胞进一步增多.另外,提高胞外钙浓度能增加BLM A_2对人肝癌BEL-7402细胞的增殖抑制作用.     

神经元调节器在双闭环直流调速系统中的应用

叙述人工神经元调节器的结构和原理，给出联接权训练算法的实现方法，设计人工神经元作调节器的双闭环直流调速系统的动态结构，并进行系统仿真研究。     

Robust fuzzy control of Takagi-Sugeno fuzzy neural networks with discontinuous activation functions and time delays

The problem of global robust asymptotical stability for a class of Takagi-Sugeno fuzzy neural networks(TSFNN) with discontinuous activation functions and time delays is investigated by using Lyapunov stability theory.Based on linear matrix inequalities(LMIs),we originally propose robust fuzzy control to guarantee the global robust asymptotical stability of TSFNNs.Compared with the existing literature,this paper removes the assumptions on the neuron activations such as Lipschitz conditions,bounded,monotonic increasing property or the right-limit value is bigger than the left one at the discontinuous point.Thus,the results are more general and wider.Finally,two numerical examples are given to show the effectiveness of the proposed stability results.     

抛光力实时控制策略研究

针对传统抛光过程中的力位耦合问题,构建力位解耦的抛光力气动伺服控制系统.利用数据采集卡和Matlab/simulink的实时工具箱RTW,分别采用传统PID控制、前馈PID控制和单神经元PID控制三种控制策略,研究抛光力气动伺服系统实时控制效果.采用在线最小递归二乘法对前馈PID控制策略的参数实现精确辨识.采用有监督的Hebb学习规则调整单神经元PID加权系数.抛光力实时控制实验结果表明,前馈PID控制和单神经元PID控制与传统PID控制相比,能达到更好的控制效果.前馈PID控制达到稳定力输出所需时间短,单神经元PID控制达到力稳定的过程中振荡很小.     

Response synchronization: New progress in brain-visual information processing

Studies on brain-vision have entered a new stage, after the stimulus-induced y synchronized oscillation of neuron group activities have been discovered in cat primary visual cortex. Naturally, how to understand the visual system became a very important methodological problem. From aspects such as information processing, nonlinear dynamics and neuronal network, some primary problems in vision studies have been deeply discussed, which are related with the response synchronization of neuron groups to external objects. The nerve representation (NR) is a distinct feature of the visual system that acts as the intelligent information processing system. NR is also the kernel concept of the computational theory of vision, and the wavelet transform is the basis of multiscale representation. Some important problems should be paid attention to in the study of neuronal spatio-temporal coding and brain-visual information processing. The response synchronization might be a significant approach for integration of brain-visual information processing.     

合浦珍珠的宝石学特征及珍珠优化处理研究

研究了化学优化处理前后合浦珍珠的宝石学特征及影响珍珠质量的因素．提出了珍珠具多元构造的特征．珍珠久置变黄及优化后珍珠返黄是由于珍珠中有机物质和变价微量元素等受侵蚀氧化分解所致．     

三相SVPWM逆变电源输出波形优化控制策略

为了提高三相逆变电源的电压输出波形质量,减少输出电压的谐波分量和总畸变率,提出模糊神经元PID控制策略。以DSP芯片为控制系统核心,对输出电压进行Clarke和Park矢量变换,采用人工神经网络方法与PID控制理论构成神经元PID控制器,对PID控制器参数进行在线调整,将模糊控制理论引入神经元PID控制器形成模糊神经元PID控制策略,并将基于60°坐标系的SVPWM算法用于逆变电源控制系统中,对系统稳态负载、动态负载、不对称负载情况下分别进行仿真实验。仿真结果表明:采用模糊神经元PID控制策略控制下的三相SVPWM逆变电源,在不同负载情况下的输出电压谐波分量小,总畸变率少,达到电压输出波形质量性能要求。     

一类不完全微分PID控制的实现方法

提出一种不完全微分PID控制的实现方法,不完全微分PID控制算法是基于Smith预估控制原理并利用单神经元来实现的.利用MATLAB仿真软件对该实现方法在隧道式炉中的应用进行仿真研究.仿真结果表明,该实现方法不但能实现对时滞系统的有效控制,而且还具有较好的抗干扰性和鲁棒性的优点.