Video-DVM is a very cheap DVM that shows how an output as complex as a videocomposite signal can be generated entirely in software: two I/O pins and three resistors are all the hardware required. Connected to any TV set it displays voltages, included max and min peaks, using both giant digits and an analog bar-display . A serial data output for computer data logging is provided, too.
NN Functions
a program in Lisp to demonstrate working of an artificial neuron. (Enter an input vector X and weight vector W. Calculate weighted sum XW. Transform this using signal or activation functions like logistic, threshold, hyperbolic-tangent, linear, exponential, sigmoid or some other functions (syntax provided) and display the output).
This routine calls the glpk library to solve a LP/MIP problem. A typical
LP problem has following structure:
[min|max] C x
s.t.
Ax ["="|"<="|">="] b
{x <= UB}
{x >= LB}
The calling syntax is:
[XMIN,FMIN,STATUS,EXTRA]=glpkmex(SENSE,C,A,B,CTYPE,LB,UB,... VARTYPE,PARAM,LPSOLVER,SAVE)
ADIAL Basis Function (RBF) networks were introduced
into the neural network literature by Broomhead and
Lowe [1], which are motivated by observation on the local
response in biologic neurons. Due to their better
approximation capabilities, simpler network structures and
faster learning algorithms, RBF networks have been widely applied in many science and engineering fields. RBF network is three layers feedback network, where each hidden unit implements a radial activation function and each output unit implements a weighted sum of hidden units’ outputs.
Solve the 8-puzzle problem using A * algorithme.
Input: Program reads start state and goal state and heuristic (N or S) from EightPuzzle.INP file.0 representing blank.
There are 2 Heuristic:
1. N: Number of misplaced tiles
2. S: Sum of Manhattan distance of current location and target location.
Format: The first line write type of heuristic (N or S).
Next is the status of departing and landing status. Between 2 states of 1 line blank.
See examples EightPuzzle.INP
