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Soft computing

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Soft computing, fuzzy logic, neural network, genetic algorithm, difference between soft and hard computing , types of search algorithm in AI and their advantages, rule of inference, semantic networks, frames

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So FT CoM PUTING

multidis ap enary Sys tem
Sofe tompu hng dtn a a



which i a Aasion e! Neuod Natw0 vk, tuzzy Logic

& gUnt ic akgoith

Sc NN+FL + GA


Fuzzy Logic for kno wluda Rp resmta kou
9+ meaws Cam e p reamt a
knowlda
Fuz2 amn undaT

odap ta hon purpo
Naura wetwork For Leomin1
Gene tic ALgorin FOr uoluhonav lompu ka hon




Soft ompuhn a asion mu modolegin
duoi t mo oud A nash SoLu hons to riol uwortd

prOblm which anx not modeled or oifurlt
modd ma the ma
kiolla
Goalso Soft Compu hng
Soft toma h a htw mulhdi cpla na vy Hld
to onstruet ntw
emi r a hon Am
a n Hihil teluizuna
knowh omputa hon mtullug tm
D g0o to dindop tn
tiajun t machl
whin a not modles/ ifiudt ho del ma/mma hiol

Th m is to xplolt tu to leran a for APPro xima lia
modal ta hures ann sii lar rea o , but ho F


Sa

,-UnuyBaum ity we m nof Sur Hhot tu fea herr

o mooll an l sam thot



pre cesion Modu leaturn (or quan hitits) au


not th sa hot o t Ttal oheo, but
shodd be dos
Close +o him) LNo. of 9 uantities
Tto weTld uen itg 3
Pax ho tru ha m OTdn to achieu do

rstm bl wih humam uke du'sion makih

LPariod tru th mam 3t is not lia whtr
machuna will b buult lak humam
or hot


Sof+ to m pu hng achubluy PaTe nen shlp
Im whjch Rack o t parthv ohtn bulis
di tinct me thodolegy for dd reong Prolm
Ln t dwanm
FL t NN +GA)

, blw Soft Compuh'ng Conn hono
DIfferma
Haxd Compu ing

SoFT ComPUnNG
HARD oMPUn NG
2vOLVe
to Can
Rq u Ppgram
wwta ProgTa
dlun wih ambigu
wim ) 9t Cam
2) S+ Cam ony duol
a h o i s y dota
Lxact data ximate rtzul
gw aPPr0
uit
taMd bmau atond
9+ loo
onemton
S+ is los alud
u) n telligtma
intelligma alow parollul
9t
squun
iol |
9+ altow Co mpu hng
Comps h Ttaso
nat
Compuhdhon) Regwn
Regu rt
tots of
h Solu hòn
Low Cos+ fo7
Souhon
cost for
1) Hig Can woYK
with poria
tru th
Jl
+ TAgu t r u th
4) ba biuo he
Pro
Det rinis he )
1o Baatd oh u3 o
13amd n binaryae hutwork 4 pro ba
biei h
newnol



uudin utiial
2eas onin
O
1) App ahon Hond wHiq
Syotmn Appuiahon
)
numri Recoz i'Non
d im

Omaly t's Fa regni na=
ursh
magn Pro
tahon A
ud oppita
tem
s u p p d r t Sys
3 olurston
Data Cop reoion
which r i a u u preu
)
Am or mohon,
ha Systm.
Au ho ma

s)

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Uploaded on
March 10, 2023
Number of pages
23
Written in
2022/2023
Type
Class notes
Professor(s)
Abhishek chauhan
Contains
5 lectures

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