Swarm intelligence is an innovative computational way to solving hard problems. This discipline is inspired by the behavior of social insects such as fish schools and bird flocks and colonies of ants, termites, bees and wasps. In general, this is done by mimicking the behavior of the biological creatures within their swarms and colonies.
标签： computational intelligence innovative discipline
上传时间： 2014-01-14
上传用户：小儒尼尼奥
delphi学习的一个小控件的使用在Image控件中绘制文字
上传时间： 2013-12-30
上传用户：it男一枚
The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is defined as the minimum of the l2-norm between the given time series and a time series that is consistent with the approximate model. The misfit is equal to zero if and only if the model is exact and the smaller the misfit is (by definition) the more accurate the model is. The considered model class consists of all linear time-invariant systems of bounded complexity and the complexity is specified by the number of inputs and the smallest number of lags in a difference equation representation. We present a Matlab function for approximate identification based on misfit minimization. Although the problem formulation is representation independent, we use input/state/output representations of the system in order
标签： identification considered features separati
上传时间： 2016-09-20
上传用户：FreeSky
The toolbox solves a variety of approximate modeling problems for linear static models. The model can be parameterized in kernel, image, or input/output form and the approximation criterion, called misfit, is a weighted norm between the given data and data that is consistent with the model. There are three main classes of functions in the toolbox: transformation functions, misfit computation functions, and approximation functions. The approximation functions derive an approximate model from data, the misfit computation functions are used for validation and comparison of models, and the transformation functions are used for deriving one model representation from another. KEYWORDS: Total least squares, generalized total least squares, software implementation.
标签： approximate The modeling problems
上传时间： 2013-12-20
上传用户：15071087253
camE 1.9 for Linux - camE is an imlib2 webcam grabber, annotator, and uploader.
标签： camE annotator uploader grabber
上传时间： 2013-12-25
上传用户：努力努力再努力
自已写的Adaboost使用Haalike feature，去Detection
上传时间： 2016-09-21
上传用户：jennyzai
确定谁引发Lostfocus TextBox中文字如何靠中靠右对齐 AutoRedraw与Image/Picture属性的关联 使TextBox按Mouse右键时只出现自定PopUp Menu 如何动态设定TextBox的靠左、右、中 使两个ListBox项目同步 ToolBar上加ComboBox 加强型的 MSFlexGrid 如何让OLE Control/Image 具有Scroll Bar的功能 用VB实现拖放功能 跟我学用ActiveBar VB6.0动态加载ActiveX控件 用VB播放FLASH动画 用VB5设计多功能计时器 VB中Combo的一种输入检查制约方法的实现 用VB制做图型菜单控件 用VB设计VCD播放器 功能强大的增强列表框 与控件有关的问答集
标签： TextBox AutoRedraw Lostfocus Picture
上传时间： 2016-09-23
上传用户：yangbo69
an approach for capturing similarity between words that was concerned with the syntactic similarity of two strings. Today we are back to discuss another approach that is more concerned with the meaning of words. Semantic similarity is a confidence score that reflects the semantic relation between the meanings of two sentences. It is difficult to gain a high accuracy score because the exact semantic meanings are completely understood only in a particular context.
标签： similarity capturing concerned syntactic
上传时间： 2014-01-05
上传用户：wmwai1314
In the previous article, we presented an approach for capturing similarity between words that was concerned with the syntactic similarity of two strings. Today we are back to discuss another approach that is more concerned with the meaning of words. Semantic similarity is a confidence score that reflects the semantic relation between the meanings of two sentences. It is difficult to gain a high accuracy score because the exact semantic meanings are completely understood only in a particular context.
标签： similarity presented capturing previous
上传时间： 2013-12-13
上传用户：wcl168881111111
Matsig is an object-oriented signal class library for MATLAB 6.5 and later. It implements a signal class, simplifying operations and manipulations common in audio signal processing and speech processing
标签： signal object-oriented implements library
上传时间： 2014-12-21
上传用户：lunshaomo
