基于复数权值神经元的数字逻辑最稳健设计

复数权值神经元由于引入了多阈值逻辑而具有更强的性能,文中根据其数学模型,结合二进神经元稳健性的概念,提出了基于该神经元的稳健性定义.并结合定义,实现了基于单个神经元的基本数字逻辑以及异或运算的最稳健设计方案,从而证明了该稳健神经元实现任意数字逻辑的有效性和可行性,说明了其强大的处理能力.     

基于蚁群算法的二进神经网络学习算法

本文提出一种实现任意布尔函数的二进神经网络学习算法,该算法首先借助蚁群算法优化选择核心节点及节点访问顺序;其次,根据优化的节点访问顺序给出扩张分类超平面的步骤,减少了隐层神经元的数目,同时给出隐层神经元及输出元的表达形式;并进一步通过理论分析了该算法的收敛性。该算法成功地改进了已有学习算法的不足,并通过典型实例验证了该算法的有效性。     

计算布尔E-导数的新算法

为了简化与-或-非代数系统布尔E-导数的计算过程,提出了一种基于表格的新算法.该算法通过用表格列出逻辑函数的1值最小项,并对1值最小项中相应位取反变换产生重复项来计算一阶布尔E-导数.二阶布尔E-导数通过相应两位的取反变换产生重复项来得到.含任意项布尔函数的1值最小项和任意项中相应位取反变换产生重复的1值最小项和新的任意项来计算一阶布尔E-导数.二阶含任意项布尔E-导数通过相应两位取反变换产生重复的1值最小项和新的任意项来计算.该方法用表格模拟了计算布尔E-导数的过程.应用结果表明,与图形方法相比较,该方法不需要画图,操作简便,可适用求解多变量逻辑函数以及计算机编程.     

数字逻辑的神经网络设计

在讨论数字逻辑与神经元的关系后，提出一种利用前向三层神经网络实现任意布尔逻辑的设计方案，并引入卡诺图化简及最小项抑制的思想降低神经网络的实现复杂性，文中给出设计的原理及算法流程图，此方案结构简单可靠，学习速度快，易于硬件实现。     

相关免疫的m值逻辑函数的几种构造

本文从ｍ（ｍ〉２为正整数）值逻辑函数相关免疫性的定义出发，以谱和概率方法为工具，给出了与相关免疫布尔函数的构造相对应的相关免疫ｍ值逻辑函数的几种典型的构造方法。     

基于阈值逻辑的逻辑函数综合算法研究

阈值逻辑门由于具有强大的逻辑功能且独自构成完备集而备受关注。为了设计以阈值逻辑门为单元结构的电路,该文首先分析了谱技术与阈值函数的关系,并通过零次、一次谱系数计算阈值函数的权值和阈值。对于非阈值函数,该文提出了新的逻辑函数综合算法,可以将任意非阈值函数转化为几个阈值函数和的形式。因此,使用一个或多个阈值逻辑门组成的网络可以实现任意布尔逻辑函数。该算法为共振隧穿二极管的电路设计提供一种新方法。     

基于不相交乘积项的逻辑探测和拆分算法

 针对以往逻辑探测算法存在的不足,提出了一种基于不相交乘积项的逻辑探测和拆分算法.该算法通过将逻辑函数的乘积项转化为不相交乘积项,并结合不相交乘积项之间海明距关系将不相交乘积项拆分成互不相交的二部分,使之分别适合RM逻辑综合和布尔逻辑综合.通过对拆分结果分析,本文进一步提出了一种新的逻辑探测方法.实验结果表明,本文的判别结果能对电路综合过程中的逻辑选择提供一个良好的指导作用.     

采用二值序列变换的形状匹配

本文对形状的模板匹配进行了研究，引入了形状的数学形态学二值序列变换，定义了形状匹配函数，讨论它的性质，建立了一个形状模板集合，提出了新的形状识别方案，它具有简单，高效，稳健和易于并行化处理的特点，最事，新的形状匹配算法被用于交通的标志中的识别，实验结果证实了新算法的稳健性和有效性。     

基于脉冲序列核的脉冲神经元监督学习算法

脉冲神经元应用脉冲时间编码神经信息,监督学习的目标是对于给定的突触输入产生任意的期望脉冲序列.但由于神经元脉冲发放过程的不连续性,构建高效的脉冲神经元监督学习算法非常困难,同时也是该研究领域的重要问题.基于脉冲序列的核函数定义,提出了一种新的脉冲神经元监督学习算法,特点是应用脉冲序列核构造多脉冲误差函数和对应的突触学习规则,并通过神经元的实际脉冲发放频率自适应地调整学习率.将该算法用于脉冲序列的学习任务,期望脉冲序列采用Poisson过程或线性方法编码,并分析了不同的核函数对算法学习性能的影响.实验结果表明该算法具有较高的学习精度和良好的适应能力,在处理复杂的时空脉冲模式学习问题时十分有效.     

一种基于简单移位的二——十进制相互转换算法

十进制码(BCD)与二进制代码相互转换的问题的研究,主要偏重于软件实现.本文基于数制变换的基本原理,提出了移位为基础的、适合硬件实现的转换算法.并根据该算法,构造了63位二进制与十进制代码的转换器.同时,对该算法又进行了扩充,提出基2^<em>r移位的算法,进一步提高性能.从性能的比较可以看出,该算法速度高,逻辑简单,非常适合实时性要求较强的嵌入式领域应用.     

High robustness and reliability of fuzzy logic based positionestimation for sensorless switched reluctance motor drives

In many applications where motor drives are used, concern. Thus, a major consideration is the reliability of position estimation schemes when sensor less SR motor drive control is employed. Hence, in this paper, the robust of a fuzzy logic based angle estimation algorithm for the switched reluctance motor (SR) motor is described. It is shown using theoretical analysis and experimental results, that by using logic, the angle estimation scheme gains a high level of robustness and reliability. A theoretical and quantitative analysis of the noise and error commonly found in practical motor drives is given, and how this can affect SR motor position estimation. An analysis is also given on the concepts of robustness and reliability. It is shown that the fuzzy logic based scheme is robust to erroneous and noisy signals commonly found in motor drives     

On the design robustness of threshold logic gates using multi-inputfloating gate MOS transistors

In this paper, the design robustness of logic circuits implemented as threshold logic gates with multi-input floating gate transistors is analyzed. The parameter variations of the basic components, namely the coupling capacitances of the floating gate MOSFETs and the sensing circuits for obtaining full logic levels, are investigated separately using appropriate array test structures. It is found that the dominant mismatch originates from the input offset voltage variations of the sensing circuits. Methods are presented for estimating the yield of a given logic circuit from the measured parameter distributions. The estimations are verified with measured data of a multiplier cell and of the encoding logic in a parallel fingerprint sensor architecture. Considerations are given for robust design of circuits based on threshold logic gates that use floating gate transistors     

Adaptive neuro-fuzzy control of a flexible manipulator

This paper describes an adaptive neuro-fuzzy control system for controlling a flexible manipulator with variable payload. The controller proposed in this paper is comprised of a fuzzy logic controller (FLC) in the feedback configuration and two dynamic recurrent neural networks in the forward path. A dynamic recurrent identification network (RIN) is used to identify the output of the manipulator system, and a dynamic recurrent learning network (RLN) is employed to learn the weighting factor of the fuzzy logic. It is envisaged that the integration of fuzzy logic and neural network based-controller will encompass the merits of both technologies, and thus provide a robust controller for the flexible manipulator system. The fuzzy logic controller, based on fuzzy set theory, provides a means for converting a linguistic control strategy into control action and offering a high level of computation. On the other hand, the ability of a dynamic recurrent network structure to model an arbitrary dynamic nonlinear system is incorporated to approximate the unknown nonlinear input–output relationship using a dynamic back propagation learning algorithm. Simulations for determining the number of modes to describe the dynamics of the system and investigating the robustness of the control system are carried out. Results demonstrate the good performance of the proposed control system.     

基于k-距离与重加权M-估计量的鲁棒协同推荐算法(英文)

The existing collaborative recommendation algorithms have lower robustness against shilling attacks.With this problem in mind,in this paper we propose a robust collaborative recommendation algorithm based on k-distance and Tukey M-estimator.Firstly,we propose a k-distancebased method to compute user suspicion degree(USD).The reliable neighbor model can be constructed through incorporating the user suspicion degree into user neighbor model.The influence of attack profiles on the recommendation results is reduced through adjusting similarities among users.Then,Tukey M-estimator is introduced to construct robust matrix factorization model,which can realize the robust estimation of user feature matrix and item feature matrix and reduce the influence of attack profiles on item feature matrix.Finally,a robust collaborative recommendation algorithm is devised by combining the reliable neighbor model and robust matrix factorization model.Experimental results show that the proposed algorithm outperforms the existing methods in terms of both recommendation accuracy and robustness.     

SAR目标检测中的一种稳健变化检测算法

在合成孔径雷达(SAR)目标检测中,目前采用的变化检测算法主要包括构造似然比法和最小二乘图像相减法,这两种算法在实际变化检测中分别存在如下问题:构造似然比法需要目标、杂波及噪声充分的先验知识,而最小二乘图像相减法则存在稳健性差的问题,鉴于上述问题,该文提出一种稳健可行的变化检测算法,该算法在最小二乘图像相减法的基础上引入了误差影响因子,通过迭代的方法求取待定参数,大大提高了变化检测的稳健性,文章最后基于不同算法进行了变化检测试验,试验结果进一步证明了该文提出算法的稳健性。     

An adaptive array processor with robustness and broad-band capabilities

A new type of receiving array which adaptively minimizes ouput noise power while simultaneously satisfying certain robustness and/or bandwidth criteria is considered. The resulting array gains are shown to be robust against direction uncertainty in the assumed look direction, against wavefront distortions and against array geometry errors. The robustness property is incorporated directly into the adaption algorithm via constraints. Extensive simulation has established very satisfactory performance of this new algorithm, both as a limited broad-band processor and as a robust narrow-band processor.     

一种改进的迭代型鲁棒波束形成算法

为有效克服模型失配误差对自适应波束形成器的影响,该文提出了一种改进的迭代型鲁棒波束形成算法.该算法以导向矢量在期望信号来波方向区间宽度内、外的积分关系式构造新的终止条件,克服了迭代对角加载算法对终止条件参数鲁棒性不强的问题,从而进一步提高了波束形成器的输出信干噪比.仿真实验表明,提出的算法可以有效克服不同类型的模型失配误差带来的影响,能够处理较大范围的方向失配误差,且对算法中的来波方向区间宽度这一关键参数设置具有较强的鲁棒性.     

A characterization of robust test-pairs for stuck-open faults

Tests for stuck-open faults in static CMOS circuits consist of a sequence of two input vectors. Such test-pairs may be invalidated by delays in the circuit. Test-pairs that are not invalidated by delays in the circuit are known as robust test-pairs. We present a six-valued logic system Ω = {0, 1, r, f, 0h, 1h}. We show how Ω differs from a number of other logic systems that have been proposed for test generation. This logic system abstracts the important aspects of the transition behavior of the circuit, on application of an input pair, that is necessary to characterize robust test-pairs for stuck-open faults. This characterization of robust test-pairs is used to derive:

1. an algorithm for determining if a given test-pair is a robust test-pair for a given stuck-open fault or not; and
2. a simplified algorithm for computing a robust test-pair for a stuck-open fault. The resulting algorithm for computing robust tests for stuck-open faults can be implemented by minor modifications to test generation algorithms for stuck-at faults.

     

Energy–Robustness Tradeoff in Cellular Network Power Control

In the seminal paper by Foschini and Miljanic in 1993, a distributed power control algorithm was developed to meet SIR targets with minimal powers in cellular network uplinks. Since the SIR on an active link may dip below the SIR target during the transient after a new user enters the cell, Bambos proposed an active link protection algorithm to provide robustness, at the expense of higher energy consumption. This paper examines the tradeoff between energy and robustness. An optimization problem is formulated where robustness is captured in the constraint and the price of robustness penalized in the objective function. A distributed algorithm is developed to solve this problem. Local convergence and optimality of equilibrium are proved for the algorithm. The objective function modulates the tradeoff between energy and robustness, and between energy and speed of admission, as illustrated through a series of numerical experiments. A parameterized family of objective functions is constructed to control the transient and equilibrium properties of robust distributed power control.     

一种有效抵抗裁剪攻击的小波域盲水印算法

该文提出了一种有效抵抗裁剪攻击的小波域盲水印算法,能从小的图像块上检测出水印。首先将图像进行小波变换,选择两个所需要的子带,利用相邻特征平均值和奇偶判决法在两个子带上各自重复内嵌一半水印,在水印检测过程中不需要原始图像。实验结果表明,该算法具有较好的透明性,对各种攻击有较强的鲁棒性,尤其是明显增强了小波域水印在面临裁剪攻击和联合攻击时的鲁棒性。