Generalization相关论文
The prevalence of missing values in the data streams collected in real environments makes them impossible to ignore in t......
When decisions are based on empirical observations,a trade-off arises between flexibility of the decision and ability to......
The task of using the machine learning to approximate the mapping x→Σi=1^d xi2with Xi∈[-1,1]seems to be a trivial one......
On the vortex filament in 3-spaces and its generalizations Qing Ding & Shiping Zhong Abstract In this article,we devote ......
In this paper,through the analysis of the major well-known enterpriseplatforms and modular characteristics,for the d......
Time-series prediction is one of the major methodologies used for fault prediction. The methods based on recurrent neura......
Z 公理上的随机的联盟游戏的凸的线性 combinational 游戏的解决方案被给。与这个答案， combinational 游戏的答案的规模和在某些情......
A generalization is a statement that is true about many instances.The following story is aboutmaking a generalization.F......
We introduced the concept of t-PBIB design in[1] as a generalization of t-design and...
美国STEM教育创新旨在让全体公民获得公平且高质量的学习体验。基于这一政策目标,美国STEM教育创新的未来方向主要包括三个方面:ST......
In the study of number sequences,we learn to uncover how the sequence grows.Then we make a generalization about the numb......
The widespread use of mobile devices in digital community has promoted the variety of data collecting methods.However,th......
Chemical processes are complex, for which traditional neural network models usually can not lead to satisfactory accurac......
In his article “On Information” published in the 1985 No.2 issue of SocialSciences in China Li Ming examines the proc......
Considering that real communication signals corrupted by noise are generally nonstationary, and time-frequency distribut......
This paper proposes an algorithm for road density analysis based on skeleton partitioning. Road density provides metric ......
The present study was undertaken to explore semantic fuzziness from the perspective of Economy Principle.It is convenien......
Parameter selection of support vector machine for function approximation based on chaos optimization
The support vector machine (SVM) is a novel machine learning method, which has the ability to approximate nonlinear func......
We integrate k-Nearest Neighbors(kNN) into Support Vector Machine(SVM) and create a new method called SVM-kNN.SVM-kNN st......
通过分析超分布代数的一系列子空间和子代数,我们引入了超分布的“层”的概念。任意一个处于一定“层”的超分布不仅可用该“层”......
Research of Neural Network Based on Improved PSO Algorithm for Carbonation Depth Prediction of Concr
Firstly,neural network based on improved particle swarm optimization (PSO)algorithm is introduced in this paper. Based o......
Visual cognition,as one of the fundamental aspects of cognitive neuroscience,is generally associated with high-order bra......
Based on the critical position of the endpoint quality prediction for basic oxygen furnaces (BOFs) in steelmaking, and t......
Aiming at the limitations of rapid fault diagnosis of blast furnace,a novel strategy based on cost-conscious least squar......
Based on immune clustering and evolutionary programming(EP), a hybrid algorithm to train the RBF network is proposed. A......
Considering the issue of misjudgment in railway bridge damage identification,a method combining the step-by-step damage ......
Natural gas load forecasting is a key process to the efficient operation of pipeline network. An accurate forecast is re......
Support vector machine (SVM), developed by Vapnik et al., is a new and promising technique for classification and regre......
The prediction of the hardenability and chemical composition of gear steel was studied using artificial neural networks.......
根据Tallon的普遍化方法和热压力功对温度的导数为常数的近似,给出一个新的计算碱卤化物高温下的弹性常数的简单关系式.对NaCl和KC......
This paper presents a kind of ZA27 squeeze casting process parameter optimization method using artificial neural network......
这是我的“方法论语条儿”中的“赞成”第四条。概括在科学研究中是必要的,少不了的。归纳在科学研究的第一步“随机探索”中是可......
The optimal selection method of spectral region based on the grey correlation analysis was applied in the analysis of ne......
Analysis on Influence Factors of Real-time Identification of Neural Network in Sheet Intelligent Ben
The scheme of intelligent control system of cap-bending has been advanced in this paper using the neural network technol......
曳力模型对流态化模拟的准确性起着决定性作用。现有的非均匀曳力模型能否普遍适用于各种流态化操作条件还缺乏深入研究。本文基于......
FAPKC4, a public key cryptosystem based on automata theory, is generalized so that component automata of compound autom......
In modern radar techniques, pulse signal can be replaced by the chirps, which is taken to be signals in Lp space. Wigner......
The last decade has witnessed the convergence of three giant worlds:electronics,computer science and telecommunications.......
TOPOLOGICAL EXPRESSIONS FOR GENERAL k-ORDER COFACTOR OF INDEFINITE-ADMITTANCE MATRIX OF ACTIVE NETWO
In this paper, two topological expressions (A) and (B) and their proofs for general k-order co-factor of the indefinite......
Low-frequency band-shaped swell noise with strong amplitude is common in marine seismic data. The conventional high-pass......
A novel model named Multi-scale Gaussian Processes (MGP) is proposed. Motivated by the ideas of multi-scale representati......
In this paper,we discuss some trellis properties for codes over a finite Abelian group,which are the generalization of t......
数据挖掘(DATAMINING)被认为是解决“数据爆炸”和“数据丰富,信息贫乏(DATARICHANDINFORMA－TIONPOOR)”的一种有效方法.关联规则(A......
Support Vector Machines(SVM) is a powerful machine learning method developed from statistical learning theory and is cur......
Point set generalization is one of the essential problems in map generalization. On the demands analysis of point set ge......
In granular computing granular structures represent knowledge on universe,in this paper several important granular struc......
The π calculus and the safe ambient calculus are two of the widely studied variants of process calculi in the field of ......
A theoretical model of multiobjective optimization neural network (MONN) and a new learningalgorithm are presented.Exper......
In this paper, we present a conversion algorithm to translate a Linear temporal logic(LTL) formula to a Bu¨chi automato......
