This zip describes an AT91 USART with PDC Transmission and Reception chain.Includes main.html file for help. For use under Green Hills 3.6.1 Multi?2000 Software Tool.
annie is an ANN, ie, Artificial Neural Network library developed in C++. It can be used to implement various kinds of neural networks like Multi-Layer Perceptron, Radial basis function networks, Hopfield networks etc.
Single-layer neural networks can be trained using various learning algorithms. The best-known algorithms are the Adaline, Perceptron and Backpropagation algorithms for supervised learning. The first two are specific to single-layer neural networks while the third can be generalized to multi-layer perceptrons.
人工智能中模糊邏輯算法
FuzzyLib 2.0 is a comprehensive C++ Fuzzy Logic library for constructing fuzzy logic systems with multi-controller support.
It supports all commonly used shape functions and hedges, with full support for the various types of Aggregation, Correlation, Alphacut, Composition, Defuzzification methods.
The latest version of the C++ Fuzzy Logic Class Library contains all the C++ source code and comes complete with a usage example for building a multi-controllers fuzzy logic model.
Welcome to PMOS. PMOS is a set of modules, mostly written in Modula-2,
to support multitasking. PMOS was designed primarily with real-time
applications in mind. It is not an operating system in the conventional
sense rather, it is a collection of modules which you can import
into your own programs, and which in particular allow you to write
multi-threaded programs.
The function conload takes a dataset and a model (PCA, PLS, PARAFAC etc.) and calculates congruence loadings which is the extension of correlation loadings to uncentered and multi-way models
主要特點(diǎn)
* Flexible finite element space construction based template element library
基于模板單元庫(kù)靈活的構(gòu)造有限元空間
* Convenient facilities to implement mesh adaption
很方便的進(jìn)行網(wǎng)格加密和稀疏化
* Multi-mesh operation supported
支持多套網(wǎng)格操作
需要有一定的有限元基礎(chǔ)和C++語(yǔ)言基礎(chǔ)，最好在linux平臺(tái)下用。
http://162.105.68.168/AFEPack/
A one-dimensional calibration object consists of three or more collinear points with known relative positions.
It is generally believed that a camera can be calibrated only when a 1D calibration object is in planar motion or rotates
around a ¯ xed point. In this paper, it is proved that when a multi-camera is observing a 1D object undergoing general
rigid motions synchronously, the camera set can be linearly calibrated. A linear algorithm for the camera set calibration
is proposed，and then the linear estimation is further re¯ ned using the maximum likelihood criteria. The simulated and
real image experiments show that the proposed algorithm is valid and robust.
