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基于神经网络的实时专家控制系统及其PTA工业应用 总被引:2,自引:0,他引:2
以精对苯二甲酸结晶过程为研究对象。提出一种基于神经网络模型的实时专家控制系统.该方法利用神经网络建模技术获取对象的机理知识,通过对影响模型特性的多个变量进行分析,自动得到常规专家控制系统难于获取的定性、定量知识,并按分级递阶的启发式搜索机制,实现了对工业过程对象的实时控制.实际应用表明:该方法不但克服了以往专家系统知识获取的瓶颈,而且有效实现了人机对话的功能,便于现场操作和更改专家知识库,为化工过程的多变量控制提供了新的思路. 相似文献
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基于人工神经网络的知识获取方法 总被引:8,自引:1,他引:7
知识获取是研制和开发专家系统的瓶颈。本文从三个方面研究了基于神经网络的知识获取方法,即通过实例学习获取知识、基于神经网络的知识求精以及从神经网络提取规则知识,分析了各自的原理及其存在的问题。 相似文献
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本文介绍一种基于符号神经网络的知识获取方法,该方法首先用传统的机器学习方法获取关于某领域的粗略知识,然后把这些知识映射到神经网络结构,通过神经网络的自学习获取关于该领域的精细知识,这样,既解决了传统机器学习中知识精度,知识表示等问题,又解决了神经网络获取知识时间长,能释能力弱等问题。 相似文献
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L—异亮氨酸发酵过程的神经网络预测控制 总被引:4,自引:0,他引:4
运用智能控制的方法研究了L-异亮氨酸发酵过程的控制,利用神经网络准确地预测发酵趋势,实时获取生化变量的预测值,神经网络预测控制克服了发酵生产过程中大时滞的影响,使系统具有较强的鲁棒性和抗干扰能力。 相似文献
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基于云理论与神经网络集成的模糊系统 总被引:1,自引:0,他引:1
提出了一种基于云理论与神经网络混合集成的模糊系统。通过不确定性人工智能,解决了在实际模糊系统中输入变量隶属函数和知识规则确定的难题,利用神经网络实现了变量之间的非线性映射。该系统不但具有神经网络自适应的学习能力,且结合云理论处理知识的不确定性能力,使模糊系统在知识推理过程中更具有说服力,在整体上提高了算法的效率。 相似文献
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基于代数神经网络的不确定数据知识获取方法 总被引:1,自引:0,他引:1
定义了代数神经元、代数神经网络,讨论了不确定数据知识获取的数学机理,设计出一类单输入,单输出的三层前向网络来获取知识的代数神经网络模型,给出一种基于代数神经网络知识获取的方法,通过该网络的学习,能确定任意一组给定数据的目标函数的逼近式。 相似文献
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Fuzzy rule derivation is often difficult and time-consuming, and requires expert knowledge. This creates a common bottleneck in fuzzy system design. In order to solve this problem, many fuzzy systems that automatically generate fuzzy rules from numerical data have been proposed. In this paper, we propose a fuzzy neural network based on mutual subsethood (MSBFNN) and its fuzzy rule identification algorithms. In our approach, fuzzy rules are described by different fuzzy sets. For each fuzzy set representing a fuzzy rule, the universe of discourse is defined as the summation of weighted membership grades of input linguistic terms that associate with the given fuzzy rule. In this manner, MSBFNN fully considers the contribution of input variables to the joint firing strength of fuzzy rules. Afterwards, the proposed fuzzy neural network quantifies the impacts of fuzzy rules on the consequent parts by fuzzy connections based on mutual subsethood. Furthermore, to enhance the knowledge representation and interpretation of the rules, a linear transformation from consequent parts to output is incorporated into MSBFNN so that higher accuracy can be achieved. In the parameter identification phase, the backpropagation algorithm is employed, and proper linear transformation is also determined dynamically. To demonstrate the capability of the MSBFNN, simulations in different areas including classification, regression and time series prediction are conducted. The proposed MSBFNN shows encouraging performance when benchmarked against other models. 相似文献
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云模型是一种基于语言规则的不确定性推理系统.为了提高辨识精度通常需要增加规则数目,这样在多维输入的情况下容易形成"维数灾".为了解决此问题,利用小波神经网络代替传统云模型的后件隶属云,建立了一种基于小波神经网络的云模型(WNCM).详细分析了WNCM的系统结构,同时给出了参数和结构辨识算法.仿真结果以及与其它方法的对比分析表明,WNCM具有较强的非线性函数逼近能力,在不增加推理规则的前提下,可以实现对系统的精确辨识. 相似文献
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给出了一种基于增强型算法并能自动生成控制规则的模糊神经网络控制器RBFNNC(reinforcements based fuzzy neural network comtroller)。该控制器能根据被控对象的状态通过增强型学习自动生成模糊控制规则,RBFNNC用于倒立摆小车平衡系统控制的仿真实验表明了该系统的结构及增强型学习算法是有效和成功的。 相似文献
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A new methodology of extraction, optimization and application ofcrisp and fuzzy logical rules 总被引:4,自引:0,他引:4
A new methodology of extraction, optimization, and application of sets of logical rules is described. Neural networks are used for initial rule extraction, local or global minimization procedures for optimization, and Gaussian uncertainties of measurements are assumed during application of logical rules. Algorithms for extraction of logical rules from data with real-valued features require determination of linguistic variables or membership functions. Contest-dependent membership functions for crisp and fuzzy linguistic variables are introduced and methods of their determination described. Several neural and machine learning methods of logical rule extraction generating initial rules are described, based on constrained multilayer perceptron, networks with localized transfer functions or on separability criteria for determination of linguistic variables. A tradeoff between accurary/simplicity is explored at the rule extraction stage and between rejection/error level at the optimization stage. Gaussian uncertainties of measurements are assumed during application of crisp logical rules, leading to "soft trapezoidal" membership functions and allowing to optimize the linguistic variables using gradient procedures. Numerous applications of this methodology to benchmark and real-life problems are reported and very simple crisp logical rules for many datasets provided. 相似文献
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Fuzzy feature selection 总被引:2,自引:0,他引:2
M. Ramze Rezaee B. Goedhart B. P. F. Lelieveldt J. H. C. Reiber 《Pattern recognition》1999,32(12):717-2019
In fuzzy classifier systems the classification is obtained by a number of fuzzy If–Then rules including linguistic terms such as Low and High that fuzzify each feature. This paper presents a method by which a reduced linguistic (fuzzy) set of a labeled multi-dimensional data set can be identified automatically. After the projection of the original data set onto a fuzzy space, the optimal subset of fuzzy features is determined using conventional search techniques. The applicability of this method has been demonstrated by reducing the number of features used for the classification of four real-world data sets. This method can also be used to generate an initial rule set for a fuzzy neural network. 相似文献
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SHYI-MING CHEN 《控制论与系统》2013,44(6):561-582
This paper presents a new algorithm for dealing with inexact reasoning problems, where the certainty factors of the rules and the truth values of the conditions appearing in the rules are represented by linguistic terms. The algorithm performs inexact reasoning via repeatedly transforming an augmented linguistic truth state vector T by an augmented linguistic rule matrix F. Given the linguistic truth values of some conditions, the algorithm can perform inexact reasoning to evaluate the linguistic truth values of other conditions automatically. 相似文献
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针对属性值和属性权重均为区间灰色语言变量的多属性群决策问题,提出一种基于区间灰色语言变量的加权几何集成算子的多属性群决策方法.首先,给出区间灰色语言变量的定义和运算规则;然后详细介绍了区间灰色语言变量加权几何集成算子、区间灰色语言变量有序加权几何集成算子、区间灰色语言变量混合加权几何集成算子,以及利用这些算子进行群决策的方法;最后,通过实例说明了所提出方法的决策步骤,并验证了方法的有效性. 相似文献
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