Networks, Crowds, and Markets: A Book by David Easley and Jon Kleinberg In recent years there has been a growing public fascination with the complex "connectedness" of modern society. This connectedness is found in many incarnations: in the rapid growth of the Internet and the Web, in the ease with which global communication now takes place, and in the ability of news and information as well as epidemics and financial crises to spread around the world with surprising speed and intensity. These are phenomena that involve networks, incentives, and the aggregate behavior of groups of people; they are based on the links that connect us and the ways in which each of our decisions can have subtle consequences for the outcomes of everyone else. Networks, Crowds, and Markets combines different scientific perspectives in its approach to understanding networks and behavior. The book is based on an inter-disciplinary course that we teach at Cornell.
Framework AForge.NET is an open source C# framework designed for developers and researchers in the fields of Computer Vision and Artificial Intelligence - image processing, neural networks, genetic algorithms, fuzzy logic, machine learning, robotics, etc. The framework is comprised by the set of libraries and sample applications, which demonstrate their features: AForge.Imaging - library with image processing routines and filters;AForge.Vision - computer vision library;AForge.Video - set of libraries for video processing;AForge.Neuro - neural networks computation library;AForge.Genetic - evolution programming library;AForge.Fuzzy - fuzzy computations library;AForge.Robotics - library providing support of some robotics kits;AForge.MachineLearning - machine learning library;etc. The work on the framework's improvement is in constants progress, what means that new feature and namespaces are coming constantly.
NeuroBox Neural Network Library Project Overview NeuroBox is a .NET OOP Library written in C# to generate, propagate and train complex neuronal networks with technologies like backpropagation using weight decay, momentum term, manhattan training, flatspot elimination etc. What's coming, current development Weblog about current thoughts, developments and excperiences around the NeuroBox project. neuralview [OProj - Open Source Software] Bitbucket is a code hosting site with unlimited public and private repositories. We're also free for small teams! Sign up for freeClose NeuralView is a graphical interface for FANN 1, making possible to graphically design, train, and test artificial neural networks.
GRATF GRATF stands for Glyph Recognition And Tracking Framework. The project is aimed to provide a library which does localization, recognition and pose estimation of optical glyphs in still images and video files. The library can be used in robotics applications for example, where glyphs may serve as commands or directions to robots. However, most popular application of optical glyph recognition is augmented reality. Here are few demos which were made using the GRATF project. For detailed description of algorithms implemented in this project, you are welcome to read next series of articles:
Financial Predictor via Neural Network Contents Introduction Each year, the field of computer science becomes more sophisticated as new types of technologies hit the market. Despite that, the problem of developing intelligent agents that will precisely simulate human brain activity is still unsolved. Learning and neural networks Artificial Intelligence: History of AI | Intelligent Agents | Search techniques | Constraint Satisfaction | Knowledge Representation and Reasoning | Logical Inference | Reasoning under Uncertainty | Decision Making | Learning and Neural Networks | Bots An Overview of Neural Networks The Perceptron and Backpropagation Neural Network Learning Single Layer Perceptrons
iplab - Image Processing Lab Image Processing Lab is an image processing application written in C#, which includes different filters and tools to analyze images available in AForge.NET Framework. The following filters are available in the IPLab application: It is possible to create (save and load) your own convolution filters or filters based on standard mathematical morphology operators. Colorized grid makes it very convenient to work with custom convolution filters. A preview window allows to view results of changing filters' parameters on the fly.
Modeling Neuron Behavior in C# Neural Network Lab Modeling Neuron Behavior in C# James McCaffrey presents one of the basic building blocks of a neural network. Get Code Download DARPA SyNAPSE Program Last updated: Jan 11, 2013 SyNAPSE is a DARPA-funded program to develop electronic neuromorphic machine technology that scales to biological levels. More simply stated, it is an attempt to build a new kind of computer with similar form and function to the mammalian brain.