clc;
clear all;
x0=input('x0');
y0=input('y0');
x=0.1:0.1:100;
for i=1:1000
a1(i)=(log10(x(i)/2);
end
subplot(3,2,1);
plot(a1);
x=.1:.1:100;
for i=1:1000
b1(i)=1-(log10(x(i)/2);
end
subplot(3,2,3);
plot(b1);
x=.1:.1:100;
for i=1:1000
if (x(i)<600)
c1(
OVERVIEW
In fiber-optic communications, wavelength-division multiplexing (WDM) is a technology which
multiplexes a number of optical carrier signals onto a single optical fiber by using different
wavelengths (i.e., colors) of laser light. This technique e
Overview:
An optical detector is a device whose change in state or response under the action of a flux of
optical radiation is used to detect the radiation, to measure the radiation, or to record and analyze
images of the radiating object. Optical detecto
clc;
clear all;
ip=input('ip');
t=input('target');
w=[0 0 0]; %3rd entry is bias
[m n]=size(ip);
for i=1:m
dw1(i)=ip(i,1)*t(i);
dw2(i)=ip(i,2)*t(i);
db(i)=t(i);
end
dw=[dw1' dw2' db'];
for i=1:4
w(i+1,:)=w(i,:)+dw(i,:);
end
w
I=input('test');
for i=1:
Assignment -8
Title: To study and implement the Defuzzification methods in MATLAB.
Theory:
Defuzzification:
Conversion of Fuzzy set into a single crisp value is called Defuzzification .
The set of rules is applied to the fuzzified input. The output of eac
Assignment9c
Title: To study and implement Tsukamoto fuzzy model for Fuzzy Inference System.
Theory:
In the Tsukamoto fuzzy model the consequent of each fuzzy if then rule is represented by a
fuzzy set with a monotonical membership function as shown in fi
