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A kind of encryption named "simple stream encrypt". The length of plaintext segment or the length of key is not limited, but must greater than zero. The lengths of every plaintext segment in a process don't require equivalency.
This tool allows to compute LOLIMOT models. LOLIMOT models are also called neuro-fuzzy models or fast neural network models. This tool can export the model into C, C++, Matlab.
NNFpp (Neural Network Framework plusplus) is a C++ porting of the NNF library. The library is a complete and portable C++ class with specified functions for using neural networks.
Lightweight backpropagation neural network in C++. The project provides a class implementing a feedforward neural network, and a class for easily train it. It is highly customizable to manage your problem and comes with a simple graphical interface.
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Amygdala is a C++ spiking neural network library. It includes several neuron models, SMP support and facilities for developing SNNs with genetic algorithms. Support for running Amygdala neural networks on workstation clusters and MPPs is also under way
Neural network libraries in many different languages compatible with each other, such that neural networks can be trained on one platform and utilised on another.
Do you want a neural network OO class?
With documentation?
Do not go further... You found it!
you have here a complete library of different neural network in an OO encapsulation.
Starting from adaline, back propagation, Kohonen
TIKAPP is becoming a collection of tools for simulation of neural networks. The first available part is an ANSI-C++ library with support for backpropation networks.
Cluster Networks are a new style of neural simulation / neural network modeling, that models networks of neural populations ("clusters") that transform and transmit information using precisely-timed, graded bursts ("pulses" or "volleys") of firing.
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nn-utility is a neural network library for C++ and Java. Its aim is to simplify the tedious programming of neural networks, while allowing programmers to have maximum flexibility in terms of defining functions and network topology.
Neural network library for C++ applications in Windows and Linux.
Multi-Layer perceptron, radial-basis function networks and Hopfield networks are supported.
You can interface this with Matlab's Neural Network Toolbox using the Matlab Extensions Pack
RooCARDS is a set of C++ classes written for the ROOT analysis framework
which interface ROOT to the Stuttgart Neural Network Simulator (SNNS). This
interface is based on a concept originally developed by Professor Yibin Pan
at the UW-Madison.
Linux C++ library to use the wifibot mobile robot.
This is a small low level library written in C++ to control the wifibot lab mobile robot.
More information about the robot here : http://www.wifibot.com/