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.
標簽： computational intelligence innovative discipline
上傳時間： 2014-01-14
上傳用戶：小儒尼尼奧
delphi學習的一個小控件的使用在Image控件中繪制文字
上傳時間： 2013-12-30
上傳用戶：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
標簽： identification considered features separati
上傳時間： 2016-09-20
上傳用戶：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.
標簽： approximate The modeling problems
上傳時間： 2013-12-20
上傳用戶：15071087253
camE 1.9 for Linux - camE is an imlib2 webcam grabber, annotator, and uploader.
標簽： camE annotator uploader grabber
上傳時間： 2013-12-25
上傳用戶：努力努力再努力
自已寫的Adaboost使用Haalike feature，去Detection
上傳時間： 2016-09-21
上傳用戶：jennyzai
確定誰引發Lostfocus TextBox中文字如何靠中靠右對齊 AutoRedraw與Image/Picture屬性的關聯 使TextBox按Mouse右鍵時只出現自定PopUp Menu 如何動態設定TextBox的靠左、右、中 使兩個ListBox項目同步 ToolBar上加ComboBox 加強型的 MSFlexGrid 如何讓OLE Control/Image 具有Scroll Bar的功能 用VB實現拖放功能 跟我學用ActiveBar VB6.0動態加載ActiveX控件 用VB播放FLASH動畫 用VB5設計多功能計時器 VB中Combo的一種輸入檢查制約方法的實現 用VB制做圖型菜單控件 用VB設計VCD播放器 功能強大的增強列表框 與控件有關的問答集
標簽： TextBox AutoRedraw Lostfocus Picture
上傳時間： 2016-09-23
上傳用戶：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.
標簽： similarity capturing concerned syntactic
上傳時間： 2014-01-05
上傳用戶：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.
標簽： similarity presented capturing previous
上傳時間： 2013-12-13
上傳用戶：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
標簽： signal object-oriented implements library
上傳時間： 2014-12-21
上傳用戶：lunshaomo
