Tradesports Prediction

Kriging and inverse distance are popular interpolation methods, especially in earth sciences. There are some routines already available on matlab but are severely limited by matlabs memory constraints. By using gstat to handle interpolation and variogram modelling, very large datasets are easily...

Graphical user interface driven first-order multivariate calibration using up-to-date methods, including PCR, PLS, net analyte methods and ortoghonal signal correction. Provides a variety of pre-processing tools, cross-validation plots, prediction plots, elliptical joint region plots, net analyte...

Numerical solutions for the conversion of an isothermal axially dispersed plug flow reactor accomplishing first and second order reactions are obtained. The Danckwerts boundary conditions for the so-called "closed" configuration are used. We use the shooting method since it is a...


Platforms: Matlab

Computer application with implemented Okumura-Hata propagation prediction model and free space propagation loss model. Prediction code is used to predict outdoor propagation effect in any outdoor environment: urban, suburban, and rural. Application is giving a possibility to plan radio cells into...


Platforms: Matlab

Model Predictive Control based on linear models is widely used in the process Industry.A function is provided to fit a local linear model to a data set so that the model obtained is designed to perform predictions within a prediction window. The model is commensurate with the MPC control cost...


Platforms: Matlab

The tutorial contains programs for PERCEPTRON and LINEAR NETWORKS Classification with a 2-input perceptron Classification with a 3-input perceptron Classification with a 2-neuron perceptron Classification with a 2-layer perceptronPattern association with a linear neuron Training a linear layer...


Platforms: Matlab

Radar cross section (RCS) prediction code based on the physical optics (PO) approximation.POFACETS is an implementation of the physical optics approximation for predicting the radar cross section (RCS) of complex objects. It utilizes the scientific computational features of MATLAB and its GUI...


Platforms: Matlab

This is the package for online (competitive)/batch prediction using generalized linear models under square loss. The algorithms are derived using the Aggregating Algorithm.The algorithms have guarantees on the cumulative square loss for the worst case when applied in online fashion in comparison...


Platforms: Matlab

This algo was the next big thing after the simple LPC algo designed on 1984. This offers a much better voice quality than LPC with a minor increase in Bandwidth. Bitrate = 13 kbps.


Platforms: Matlab

This is a performance anaylsis. Analysis was performed using MATLAB Ver 6.1. I have tried my level best to bring out the best analysis possible.


Platforms: Matlab

This m-file computes an approximate determination coefficient (R2) for prediction, sayR2pred = 1 - (PRESS/SST)where PRESS = prediction error sum of squares, SST = total sum of squares.This statistic gives some indication of the predictive capability of the regression model. So, we could expect...


Platforms: Matlab

function [confmatrix] = cfmatrix(actual, predict, classlist, per)% Outputs: confusion matrix%%% Inputs:% 1. actual / 2. predict% The inputs provided are the 'actual' classes vector and the 'predict'ed classes vector. The actual classes are the classes to which the input feature vectors belong....


Platforms: Matlab

The Area under the Receiver Operating Characteristic is a common summary statistic for the goodness of a predictor in a binary classification task. It is equal to the probability that a predictor will rank a randomly chosen positive instance higher than a randomly chosen negative one.I was...


Platforms: Matlab

The skill score is a statistic similar to the Nash-Sutcliffe in that the closer to one the better the model prediction. This function interprets model predictability using residual error and observed variability in your data. A skill score of 1 means a perfect fit (don't we all wish). A skill...


Platforms: Matlab

Techniques from information theory are usual for the selection of variables in time series prediction or pattern recognition. These tasks involve, directly or indirectly, the maximization of the mutual information between input and output data. However, this procedure requires a high...


Platforms: Matlab

The simple program for plot the body plan of Ship in 2D-3D, hydrotatic calc. also Lewis form for ship motion prediction.


Platforms: Matlab

The model relies on the theory of strength of least square curve fitting and auto regression techniques.


Platforms: Matlab

This code calculates true-stress vs. true strain curves of glassy polymers according to the recently published WTS model. A userfriendly GUI is availabe that allows to import and compare own data with the model prediction.


Platforms: PHP

The Fisher4Cast suite provides a standard, tested tool set for general Fisher Information matrix prediction and forecasting for use in both research and education. The toolbox design is robust and modular, allowing for easy additions and adaptation while keeping the user interface intuitive and...


Platforms: PHP

This Plugin is designed to manage motor sport races and championships and allow users to predict the outcome of the races. Points are awarded based on users' predictions and the actual finishing order of the race.Most motor sport competition types are supported. Basically any event that involves...


Platforms: PHP