Showing 5 open source projects for "radial basis function"

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  • 1
    MIR

    MIR

    A lightweight JIT compiler based on MIR

    MIR means Medium Internal Representation. MIR project goal is to provide a basis to implement fast and lightweight interpreters and JITs. Plans to try MIR light-weight JIT first for CRuby or/and MRuby implementation. Each module can contain functions and declarations and data. Each function has a signature (parameters and return types), local variables (including function arguments) and instructions. Each local variable has a type which can be only a 64-bit integer, float, double, or long double. ...
    Downloads: 0 This Week
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  • 2

    TOTimer

    Time-Out-Timer for single threaded environement

    Serve timeouts by calling a service-function periodically and an independent time-source (toticker). If you need a timer and like to try this one, please write your experiences to me in brief! And may be suggestions, of course. 10ms tick time should be possible. May be less. DO NOT USE Version less 0.1.1 - it is definatly buggy! Easy to control timers via Handle, eg auto create&start a timer via totimer_setTimeout function. Optionally use Callback-Functions if timeout...
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  • 3
    Radial++ is a C++ template library for scattered data interpolation in any dimension and also the numerical solution of partial differential equations. It provides generalized Radial Basis Functions (p.e. multiquadric, this-plate spline, etc).
    Downloads: 0 This Week
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  • 4

    libfgen

    Library for optimization using a genetic algorithm or particle swarms

    libfgen is a library that implements an efficient and customizable genetic algorithm (GA). It also provides particle swarm optimization (PSO) functionality and an interface for real-valued function minimization or model fitting. It is written in C, but can also be compiled with a C++ compiler. Both Linux and Windows are supported.
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  • 5
    Neural Network class library: Its a C/C++ implementation that provides following three neural architecture - Feed-forward network, Radial Basis function network, multi-layer perceptron and Self-Organizing Maps.
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