This applet illustrates the prediction capabilities of the multi-layer perceptrons. It allows to define an input signal on which prediction will be performed. The user can choose the number of input units, hidden units and output units, as well as the delay between the input series and the predicted ...
This program demonstrates some function approximation capabilities of a Radial Basis Function Network.
The user supplies a set of training points which represent some "sample" points for some arbitrary curve. Next, the user specifies the number of equally spaced gaussian centers and the variance for ...
A series of .c and .m files which allow one to perform univariate and bivariate wavelet analysis of discrete time series. Noother wavelet package is necessary -- everything is contained in this archive. The C-code computes the DWT and maximal overlap DWT. MATLAB routines are then used to compute suc ...
This demo develops the steady-state characteristics of an induction motor First start the simulation, then Double click the <PLOTS> block to view torque-speed and
current-speed curves and the current circle diagram
Many applications use connection/object pool. A program may require a IMAP connection pool and LDAP connection pool. One could easily implement a IMAP connection pool, then take the existing code and implement a LDAP connection pool. The program grows, and now there is a need for a pool of threads. ...
A program to demonstrate the optimization process of ant colony optimization for the traveling saleman problem (TSP). The cities are shown as red circles, the pheromone on the connections between them (fully connected graph) by gray lines. The darker the grey, the more pheromone is currently on the ...
Computes the hafnian of a nonnegative integer matrix. Notes: Copy hafnian.c to main.c, in the same directory as Rothberg s code (see above). You can download the .tar directory with the code weighted-match.tar here. Then "make" the codes (this codes are in C, not C++). The program is then run by the ...
county, random population coordinates were generated using the complete spatial randomness (CSR) function in S-PLUS. Then, the background information was attached to each individual county based on the county?s distribution for the class of interest. Finally, all counties were merged into a single d ...
