Difference between genetic algorithm and the traditional method in Artificial Intelligence?

hello gm friends so today my topic is to difference  between genetic algorithm and traditional method.

So now a days in  of artificial Intelligence   everybody uses the Al in method in little bit or more.

with the help of artificial intelligence we can do lots of things in an easy way.

I am considering that you have a little bit knowledge of artificial intelligence because i am considering that you are college student.

when a machine  behaves like human then it is called as  artificial intelligence.

now a days there are lots of changes have done in the field of artificial intelligence.

now a days the working process of artificial intelligence is so much better than the old days.

but in this topic i am not going deep into Al.in this topic i talk about the difference  between the genetic algorithm that is used to solve the problem using the artificial technology and the traditional methods mostly the human being do.

<—————————————genetic algorithm.——————————>

so firstly lets know about genetic algoirthm

1.genetic algorithm is developed in early 1970s by john hollend are unorthodox search and optimization algorithms ,which mimic some of the process of natural evolution.

2.It  performs the directed random search though a given set of alternative with the aim finding the best alternative with respect to the given criteria of goodness.

3.It uses genetic and natural selection to solve optimization problem.

4.used in field such as machine learning and artificial intelligence.

5.probablistic rule.

6.search on population  of points.

 

 

<———————————traditional method—————————>

1.It uses step by step process of a given problem.

2.not as davance.

3.used in fields such as programming mathematics.

4.fully determinstic rules.

5.  search  on a single point.

 

 

 

Types of learning.

 

 

 

 

 

 

 

There are two types of learning ?

1.supervised learning.

2.supervised learning.

Supervised learning.

Supervised learning can be held in the classroom int he presence of teacher.thus  question can be answered.

1.the desired output is known.

2.the error information can be used.

3.the reward /punishment scheme is used.

4.A training set is required.

5.All the observation assumed to be  a set of input and the another set of observation is assumed called output.

Perceptron……………………

 

Unsupervised learning.

In unsupervised learning corresponds to a video caste tape .thu queston cant be answered.

  1. the desired output is unknown .
  2. A training set is  not required.
  3. error information cant be used .
  4. there is no reward/punishment functionalties .
  5. All the observation are assumed to be caused by a latent variables.

Diffrence between Soft computing and hard computing.

 

Difference between soft computing and hard computing.

                            Difference between soft and hard computing
1.Soft computing  Hard computing
2.It uses the computationa intelligence. It has to be written.
3.It uses the parallel computing. It uses the sequential computing.
4. It gives noisy data. It gives the exact data.

 

5.It gives the approximate. It gives the fixed value.
6.It uses in weather forcasting. It used in robots.

what is soft computing?

 

 

 

 

 

Soft computing is a collection of techniques that is used to contstruct  a computer intelligence system.

In soft computing machine can works like human .

In soft computing it is able to make decision and take action .

In soft computing they must be able to adobt and learn.

In soft computing it contains 3 things.

1.neural network.

2.fuzzy logic.

3.revolution

Neural network:It recognise the pattern and adopting themselves with changing environment.

Fuzzy logic: It must be able to adopt and learn give the approximates.

Revolution:it is based on genetic algorithm and search optimization.

what is Artificiial Intelligence?

 

1.Artificial Intelligence consist hardworking .

2.artificial Intelligence is the property of machine that works like human being and thinks like human being.

3.Artificial Intelligence  is the property of a machine that works like human being.

4.intelligence machine are developed based on the intelligence of a subject and based on the intelligence of an object and based on the intelligence of person.