Search Results for "matlab genetic algorithm" - Page 3
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Showing 62 open source projects for "matlab genetic algorithm"
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This is a MATLAB toolbox for the quality control and scoring of EMAP and SGA genetic interaction data. It includes a graphical user interface and some automatic plot-generating tools.
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This is a fast C implementation of Arturo Camacho's SWIPE' pitch extraction algorithm. See the project homepage for more about the advantages of the SWIPE' algorithm. swipe-1.0.tar.gz contains the current source, which should compile quite neatly.
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This project applies an interpretation of a k-NN algorithm to a library of GPS commuter data for speed prediction. The overall goal is to lay the foundation for a power management protocol for use in electric vehicles with hybrid energy storage.
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An implementation of a new proposed model of smoothly spiking neural networks + a fully analytical gradient descent algorithm.
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This project aims to provide open source software implementing the Wedge algorithm for the estimation of parameters in dynamical systems models. This project also seeks to create tutorials and resources for those using Wedge.
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A particle swarm optimization demo written by students in the digital communication msc program (2010) at uni-kiel.
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This is a set of octave-functions to simulate grover's quantum search algorithm in which we introduce spontaneously decaying qubits. See http://arxiv.org/abs/quant-ph/0609047. This is a modification to account for multiple item searching.
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Linear Time Invariant (LTI) system identification using particle swarm optimization (PSO) algorithm. Creators : Vahid Kiani, Hadi Sadoghi Yazdi
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OpenOpt is FREE (GNU GPL v.2) MATLAB/Octave toolbox, powered by user-contributed solvers & ideas. Scaling, updating counters etc is performed by OpenOpt BaseModule. Local & global solvers, easy interface, possibility of graphical output, etc, etc. Enjoy
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A collection of LDPC(Low-Density Parity-Codes) tools. Including: Code construction; Density Evolution; Decoding Algorithm; Girth average Counter; Stopping set and error Floor,etc.
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nBoost is a suite of boosting algorithms designed to solve binary classification problems on data that is not linearly separable by a convex combination of base hypotheses, i.e. noisy data. WARNING: Active development. Underlying algorithm is unstable.
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UANA (Universal Abstract Numerical Algorithm) is a c++ api for developers to write algorithms independant of the underlying data container classes.
