PhpDig is a search engine written in PHP that uses a MySQL database backend. It features indexing of both static and DYNAMIC pages, spidering of almost all links in HTML content, in hrefs, areamaps, and frames, and full text indexing. The search results appearence is skin-able, using a very simple templates system. PhpDig是一個用PHP編寫的搜索引擎，它使用MySQL數據庫后臺。它的功能有靜態和動態頁面索引，在HTML內容中用hrefs, areamaps，和frames以及全文本索引構成所有的鏈接網。搜索結果的外觀是可定制外觀的，使用一個非常簡單的模板系統。
自適應(Adaptive)神經網絡源程序
The adaptive Neural Network Library is a collection of blocks that implement several Adaptive Neural Networks featuring
different adaptation algorithms.~..~
There are 11 blocks that implement basically these 5 kinds of neural networks:
1) Adaptive Linear Network (ADALINE)
2) Multilayer Layer Perceptron with Extended Backpropagation algorithm (EBPA)
3) Radial Basis Functions (RBF) Networks
4) RBF Networks with Extended Minimal Resource Allocating algorithm (EMRAN)
5) RBF and Piecewise Linear Networks with DYNAMIC Cell Structure (DCS) algorithm
A simulink example regarding the approximation of a scalar nonlinear function of 4 variables
The purpose of this computer program is to allow the user to construct, train and test differenttypes of artificial neural networks. By implementing the concepts of templates, inheritance andderived classes from C++ object oriented programming, the necessity for declaring multiple largestructures and duplicate attributes is reduced. Utilizing DYNAMIC binding and memory allocationafforded by C++, the user can choose to develop four separate types of neural networks:
The cart with an inverted pendulum, shown below, is "bumped" with an impulse
force, F. Determine the DYNAMIC equations of motion for the system, and lin
earize about the pendulum s angle, theta = Pi (in other words, assume that p
endulum does not move more than a few degrees away from the vertical, chosen
to be at an angle of Pi). Find a controller to satisfy all of the design re
quirements given below.
The adaptive Neural Network Library is a collection of blocks that implement several Adaptive Neural Networks featuring
different adaptation algorithms.~..~
There are 11 blocks that implement basically these 5 kinds of neural networks:
1) Adaptive Linear Network (ADALINE)
2) Multilayer Layer Perceptron with Extended Backpropagation algorithm (EBPA)
3) Radial Basis Functions (RBF) Networks
4) RBF Networks with Extended Minimal Resource Allocating algorithm (EMRAN)
5) RBF and Piecewise Linear Networks with DYNAMIC Cell Structure (DCS) algorithm
A simulink example regarding the approximation of a scalar nonlinear function of 4 variables is included
This application, built in VB using MapObjects, allows the user
to zoom in, zoom out and pan using only the mouse. The pan is
a DYNAMIC pan just push the mouse in the direction you would
like to pan.
