No self-introduction
Loading
Profile
Follow
codes (17)
multi-insulator MIM diode
no vote
Of
amin642834 0 0
1
dmed
no vote
Macular edema in diabetes, defined as retinal thickening within 2 disc
diameters of the center of the macula, results from retinal
microvascular changes that compromise the blood-retinal barrier, causing
leakage of plasma constituents into the surrounding retina and,
consequently, retinal edema
amin642834 2 0
1
An Ant Colony Optimization Algorithm For Image Edg
no vote
Ant colony algorithm (ACO) is an optimization algorithm, which uses the natural behavior of ant species to forage for aboveground pheromones. In this paper, ant colony algorithm is introduced to deal with the problem of image edge detection. An edge detection method based on ant colony algorithm is proposed, which can establish a pheromone matrix representation. An edge information of each pixel in the image is proposed, which is sent to move on the image according to the movement of a large number of ants. In addition, the movement of these ants is driven by the local changes of the image. The experimental results show that the performance of this method is superior.
amin642834 0 0
1
PSO algorithm with estimation and tracking inducti
no vote
The project to design an induction motor (Induction Motor) focus that aim , it is estimates and tracking parameters . Particle swarm optimization PSO algorithm estimates or asynchronous induction motor and engine parameters tracked with selected parameters by PSO algorithm will happen. Lines are sharing program with comments .
amin642834 0 0
1
Probability density function (PDF) and cumulative
4.0
Probabilistic
Density Function or PDF, which stands for the probability density
function of the uniform distribution family (Continous Uniform
Distribution) is the statistical distribution of the integral display
and the function is non-negative. This function describes the relative risk for random variable. The
implementation of a series of random data that they intend to estimate
the fulcrum (Bounded Support) and backrest (Unbounded Support) have. In this project the cumulative distribution function or CDF Cumulative
Distribution Function is an abbreviation for the random data and
scenarios Bound / Unbound Support which is used in the output below, it
can be seen.
Have commenting project to have the code. There
is a main function called gkdeb.m gkdetest.m file with 6 different
methods including the distribution of the backrest (Bounded
Distribut
amin642834 1 0
1
PID controller design for genetic algorithms and n
no vote
In this project, PID controller for distillation (Distillation Column) using genetic algorithms in MATLAB is available for free download . The project website is no longer available for sale at a high price . Free download .
amin642834 0 0
1
A social spider algorithm for global optimization
no vote
We simulate a global optimization / James UK in * social spider algorithm, Victor holly
amin642834 2 0
1
Bat-inspired algorithm
no vote
The idealization of the echolocation of microbats can be summarized as follows: Each virtual bat flies randomly with a velocity at position (solution) with a varying frequency or wavelength and loudness . As it searches and finds its prey, it changes frequency, loudness and pulse emission rate . Search is intensified by a local amin642834 2016-08-23
amin642834 1 0
1
Ant colony optimization algorithms ACO
no vote
The ant colony algorithm is an algorithm for finding optimal paths that is based on the behavior of ants searching for food.
At first, the ants wander randomly. When an ant finds a source of food,
it walks back to the colony leaving "markers" (pheromones) that show the
path has food. When other ants come across the markers, they are likely
to follow the path with a certain probability. If they do, they then
populate the path with their own markers as they bring the food back. As
more ants find the path, it gets stronger until there are a couple
streams of ants traveling to various food sources near the colony.
Because the ants drop pheromones every time they bring food, shorter
paths are more likely to be stronger, hence optimizing the "solution."
In the meantime,
some ants are still randomly scouting for closer food sources. A
similar approach
can be used find near-optimal solution to the amin642834 2016-08-23
amin642834 2 0
1
Artificial bee colony algorithm ABC
no vote
ABC is a swarm intelligence algorithm proposed by Karaboga in 2005,
which is inspired by the behavior of honey bees. Since the development
of ABC, it has been applied to solve different kinds of problems.
Artificial bee colony (ABC) algorithm is a recently proposed
optimization technique which simulates the intelligent foraging behavior
of honey bees. A set of honey bees is called swarm which can
successfully accomplish tasks through social cooperation. In the ABC
algorithm, there are three types of bees: employed bees, onlooker bees,
and scout bees. The employed bees search food around the food source in
their memory; meanwhile they share the information of these food sources
to the onlooker bees. The onlooker bees tend to select good food
sources from those found by the employed bees. The food source that has
higher quality (fitness) will have a large chance to be selected by the
onlooker bees than the one of lower quality. The scout bees are
transla
amin642834 1 0
1
View More
Follows0
Fans0