Soft computing

2. [4091] Alpa Chauhan
[4094] Ankita Chhatrola
[4097] Preeti Darji
[4103] Pooja Goswami
[4116] Suja Nair
[4161] Kajal Thakkar

3. Soft computing is a field of computer
science which makes use of inexact
solutions for problems which has no
known method to compute an exact
solution
It uses imprecision, uncertainty, partial
truth, and approximation as input

4.  Hard computing
Deals with precise values
Accurate output is needed
Useful in critical systems
 Soft computing
 Deals with assumptions
Accuracy is not necessary
Useful for routine,control, decison making tasks

5. • Fuzzy Systems
•Neural Networks
•Evolutionary Computation
• Machine Learning
•Probabilistic Reasoning

6. • Founded in 1940
• Artificial neural network mimics the
biological neuron network in function
Warren S Mullcock

7. • Based on fuzzy set theory and fuzzy logic
• Uses numeric ranges of sets (fuzzy sets )
to measure and represent the logical
evaluations of partially accurate findings
• Most applications in control and decision
making
• Founded by Lofti A Zadeh

8.  Pattern recognition
based on training
data,Classification
supervised by
instructor.
 Unsupervised machine
learning is also used
where the machine
learns from the given
data by detecting
patterns.
Orange
Apple?
Instructor

9.  Models based on human reasoning.
 Closer to human thinking and biologically
inspired
 Models can be
 Linguistic
 Comprehensible
 Fast when computing
 Effective in practice.

10.  Heavy industry
 Robotic arms, Humanoid robots
 Home appliances
 Washing machines, ACs,
Refrigerators, cameras
 Automobiles
 Travel Speed Estimation, Sleep
Warning Systems, Driver-less
cars
 Spacecrafts
 Maneuvering of a Space
Shuttle(FL), Optimization of Fuel-
efficient Solutions for space craft