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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 pe ...

人工智能中模糊逻辑算法 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, De ...

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, ...

"More for C++" is a class library that provides some features that are usually common for object oriented programming languages like Java or Python, but not for C

一个Jtag调试仿真程序，兼容Multi-ICE，这是源代码，很难找到的。特别推荐

R+树的c实现源码，对应文章T. K. Sellis, N. Roussopoulos, C. Faloutsos: The R+-Tree: A Dynamic Index for Multi-Dimensional Objects.

With the information in this book, you will learn how to write not only JavaScript that can stand on its own within a Web page, but also how to write scripts that interact with applications written in other development languages.

This note describes some key aspects of what C++ is and of how C++ has developed over the years. The spective is that of an experienced C++ user looking at C++ as a practical tool. No attempts are made to compare C++ to other languages, though I have tried to answer some questions that I have often ...

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