Showing 2 open source projects for "genetic algorithm java"

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  • InEight is a leader in construction project controls software Icon
    InEight is a leader in construction project controls software

    InEight serves contractors, owners, and engineers in capital construction

    Minimize risks, gain operational efficiency, control project costs, and make confident, informed decisions. InEight software has your back during every stage of construction, from accurate pre-planning to predictable execution and completion. When project teams collaborate effectively, every decision is backed by precise, authoritative insights.
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  • End-To-End Document Management Software Icon
    End-To-End Document Management Software

    UnForm is ideal for businesses focusing on distribution, manufacturing ERP solutions, and general accounting.

    UnForm® is a platform-independent software product that creates, delivers, stores and retrieves graphically enhanced documents from ERP application printing. A complete, end-to-end document management solution, UnForm interfaces at the point of printing to produce documents in various formats for printing and electronic delivery.
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  • 1

    GenoCline

    GenoCline is a free Java software for genetic cline analysis

    Identification of clines from allele frequency or genome-wide databases. Angular transformation. Sigmoid function. Parameterization of a cline: orientation, Pearson’s product-moment correlation coefficient, linear and sigmoid regression and coefficient of determination. Graphical representation of the cline. Confidence limits. Spatial autocorrelation. Moran's index. Isolation by distance. Exponential regression. Correlation Fst/Distance. Centroid method. Cline's expected vs. predicted...
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  • 2
    phenotemp

    phenotemp

    phenological trends using NOAA AVHRR time series

    Starting from GIMMS values as ascii data (each line will be treated as individual time series), the application can smooth the ts - values by applying different algorithm that are based on Fouriertransformation. Separation of seasonal figure as well as the detection of linear trends is possible. Possible breaks in longterm mean can be detected with a change-point analysis using CuSum algorithms. Phenological events such as start-of-season, day-of-max/day-of-min, end-of-season can be...
    Downloads: 0 This Week
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