Search Results for "number prediction algorithm"

This project is dedicated to the optimization of (any) electrical and electronic circuits and components using evolutionary and heuristic algorithms incorporated with SPICE simulators (such as HSPICE, ngSPICE, etc.). We provide Optimer, which is a user graphical interface for circuit design and optimization. Website: https://www.circuitoptimization.com/ E-mail: contact@circuitoptimization.com/

...Mulholland (2015). This is a simple interactive simulator including 20 different applications for such aspects as PID and DMC controller tuning, advanced level control, Smith prediction, Kalman filtering, and control strategies for a furnace, a boiler, and a hybrid system. A tutorial gives brief background to the theory and programming of each application, plus a stepwise set of objectives to illustrate the main features. The simulations include a number of the techniques described in Applied Process Control – Essential Methods, and that book’s accompanying volume, Applied Process Control – Efficient Problem Solving. ...

PySimiam is a robot simulator, created to follow the course "Control of Mobile Robots" offered at Coursera. The simulator models an arbitrary number of mobile robots in a 2D environment, each controlled by a arbitrary algorithm.

Use the McCabe-Thiele method to calculate the number of theoretical trays in a distillation column operated under the conditions specified. It has tools for data analysis to obtain empirical or semi-empirical equilibrium models. You can even use cubic splines. This project uses icons of "Open Icon Library" https://sourceforge.net/projects/openiconlibrary/

A Disk Scheduling Simulator tool. With an intuitive GUI interface and command line functionality. Built using both VC and VB. Currently supports SSTF,LOOK,CLOOK,SCAN and CSCAN algorithms. Rotational latency is also optionally supported.

Rejection-based stochastic simulation algorithm (RSSA) is an efficient exact algorithm for doing stochastic simulation of biochemical reaction systems. RSSA improves over state of the art of stochastic simulations by avoiding and collapsing as much the number of propensity updates.

Application of neural network to predict the future of stock exchange, aerospace ( ufo trajectory ), sound, image, noise, scientific or medical data. You need , by example, 100 days of a numeric data and the number of days to predict (by example 7 days).

Multimedia consumption at social events - if available - can be considered as a complex problem. People use their smart phones and tablets to take pictures and videos, leading to a high number of production places. If we enable those visitors to share their content at the event, new challenges emerge. Visitors move, go online and offline, and build a dynamic network. One can say a complex adaptive network emerges, with all its problems. We tackle these problems by introducing a bio-inspired algorithm, which lets the content place itself where it is needed. ...