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MetaMIS is the first tool to automatically infer the microbial interactions of microbial community profile in the field of metagenomics. The most distinguished feature of MetaMIS is its ability to retain maximum population of rare species in an ecological interactive network. MetaMIS provides a user-friendly interactive stand-alone graphical interface for scientists without programming skills to investigate the interactions among microorganisms.
2017.03.09 MetaMIS_v1.02:
- Create an...
Orthogonal method for the Identification of Volterra series. It is an extension of Lee-Schetzen method with two major improvments:
1. Reduced identification uncertainty in diagonal kernel points.
2. Possibility to identify each Volterra kernel with an input with different variance.
This feature reduces the identification noise on lower order kernels and improve the "resolution" on higher order kernels.
For reference see:
Simone Orcioni. Improving the approximation ability of Volterra series...
Volterra-Wiener series Identification Toolbox.
This tool lets the identification of nonlinear discrete causal systems that can be approximated with the Volterra-Wiener series.
Please see NEW ADVANCE in Volterra series identification:
https://sourceforge.net/projects/volterra20/?source=directory
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JaWator is a Wa-Tor JavaApplet; a predator-prey simulation resembling a natural ecosystem, this Cellular Automaton delivers fluctuations similar
to the Lotka-Volterra equation. Inspired by A.K. Dewdney, Wa-Tor ecosystem (Scientific American, 1984)
We wish to develop an application that simulates the evolution of a population of animals in a given environment. Also, we want to compare the evolution of the simulation with a determinist model of population evolution (based on Volterra equations).
Key