Anna University
B.E. / B.Tech. DEGREE EXAMINATION
Eighth Semester
Computer Science Engineering
CS2053 / 80230054 - SOFT COMPUTING
(Regulation 2008)
B.E. / B.Tech. DEGREE EXAMINATION
Eighth Semester
Computer Science Engineering
CS2053 / 80230054 - SOFT COMPUTING
(Regulation 2008)
University: Anna University
Year: Fourth Year
Department: B.E Computer Science and Engineerin
Semester: VIII (AU Chennai), VII (AU Coimbatore)
Subject code: CS2053 / 80230054
Subject Name: Soft Computing
Regulation: 2008
Content: Soft computing Notes for Anna University Chennai 8th semester and Anna University Coimbatore 7th semester
Select your appropriate notes from the list given below:
You can also Click File -> Download from the Google drive notes viewing window.
Soft computing introduction
fuzzy computing
fuzzy set, fuzzy operations
neural computing
genetic algorithms
Associative memory
Adaptive resonance theory
Notes 2 - View CS2053 Soft Computing - Notes 2 /// Download CS2053 Soft Computing Notes 2
Neural network
Artificail neuron
Neural network architectures
Learning in NN
Taxonomy of NN
Single layer NN system
Adaptive linear element (ADALINE)
Application of NN
Notes 3 - View CS2053 Soft Computing - Notes 3 /// Download CS2053 Soft Computing Notes 3
fuzzy computing
fuzzy set, fuzzy operations
neural computing
genetic algorithms
Associative memory
Adaptive resonance theory
Notes 2 - View CS2053 Soft Computing - Notes 2 /// Download CS2053 Soft Computing Notes 2
Neural network
Artificail neuron
Neural network architectures
Learning in NN
Taxonomy of NN
Single layer NN system
Adaptive linear element (ADALINE)
Application of NN
Notes 3 - View CS2053 Soft Computing - Notes 3 /// Download CS2053 Soft Computing Notes 3
Back propagation n/w
back propagation learning
back propagation algorithm
Notes 4 - View CS2053 Soft Computing Notes 4 /// Download CS2053 Soft Computing Notes 4
back propagation learning
back propagation algorithm
Notes 4 - View CS2053 Soft Computing Notes 4 /// Download CS2053 Soft Computing Notes 4
Associative memory
classes of AM
Associative memory models
Auto associative memory
hetero-associative memory
Notes 5 - View CS2053 Soft Computing Notes 5 /// Download CS2053 Soft Computing Notes 5
Adaptive resonance theory
ART networks
ART architecture
Iterative Clustering
Unsupervised ART Clusetring
Notes 6 - View CS2053 Soft Computing Notes 6 /// Download CS2053 Soft Computing Notes 6
classes of AM
Associative memory models
Auto associative memory
hetero-associative memory
Notes 5 - View CS2053 Soft Computing Notes 5 /// Download CS2053 Soft Computing Notes 5
Adaptive resonance theory
ART networks
ART architecture
Iterative Clustering
Unsupervised ART Clusetring
Notes 6 - View CS2053 Soft Computing Notes 6 /// Download CS2053 Soft Computing Notes 6
Fuzzy set theory
Fuzzy membership & graphical representation
Fuzzy operations
fuzzy properties
Fuzzy relations
Notes 7 - View CS2053 Soft Computing Notes 7 /// Download CS2053 Soft Computing Notes 7
Fuzzy system elements
Classical logic
fuzzy logic
GMP, GMT
fuzzy rule based system
Notes 8 - View CS2053 Soft Computing Notes 8 /// Download CS2053 Soft Computing Notes 8
Genetic algorithms & Modelling
encoding
operators of genetic algorithm
Crossover
Basic Genetic algorithm
Notes 9 - View CS2053 Soft Computing Notes 9 /// Download CS2053 Soft Computing Notes 9
Fuzzy membership & graphical representation
Fuzzy operations
fuzzy properties
Fuzzy relations
Notes 7 - View CS2053 Soft Computing Notes 7 /// Download CS2053 Soft Computing Notes 7
Fuzzy system elements
Classical logic
fuzzy logic
GMP, GMT
fuzzy rule based system
Notes 8 - View CS2053 Soft Computing Notes 8 /// Download CS2053 Soft Computing Notes 8
Genetic algorithms & Modelling
encoding
operators of genetic algorithm
Crossover
Basic Genetic algorithm
Notes 9 - View CS2053 Soft Computing Notes 9 /// Download CS2053 Soft Computing Notes 9
Hybrid systems
Neuro fuzzy hybrid
Back propagation networks
Fuzzy back propagation networks
Fuzzy ARTMAP
Back propagation networks
Fuzzy back propagation networks
Fuzzy ARTMAP
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Soft computing is based on some biological induced methods such as genetics, development, ant ehavior, the warm of particles, the human nervous system, etc.
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