Anna university Coimbatore Syllabus
080290053 Neural Networks and Applications ECE 6th Semester Anna University Coimbatore Syllabus Regulation 2008
Department of Electronics and Communication Engineering
Meant for Anna University Coimbatore
Syllabus
(Regulation 2008/2010)
___________________________________________________________________________________
Details:
University:Anna University
Year: Third Year
Department: B.E Electronics and Communication Engineering
Semester: (VI)
Content: 080290053 Neural Networks and Applications ECE 6th Semester Anna University Coimbatore Syllabus Regulation 2008
Post Type: Syllabus
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080290053 Neural Networks and Applications Syllabus
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Syllabus for Neural Networks and Applications
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ECE sixth semester syllabus for Anna university coimbatore
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Unit I
Neuron model network architecture
Neuron model – single input neuron –activation function – multiple
input neuron neural networks viewed as directed
graphs -feedback - network architectures
– knowledge representation – linear and non- linear separable problem(XOR)
Unit II Learning process
Error – correction learning – memory based learning - hebbian learning-
competitive learning-Boltzmann
learning-credit assignment problem-supervised
and
unsupervised learning-adaptation-statistical learning theory.
Unit III Perceptions
Single layer perception-Adaptive filtering-unconstrained optimization-Least-mean
square algorithm-Leaning curve-Annealing Technique-perception
convergence
theorem-Relationship between perception and Baye’s classifier-Back propagation algorithm- Network pruning techniques-supervised learning viewed
as
an optimization problem-convolutional
network. Application to Adaptive
Prediction and character recognition.
Unit IV
Attractor neural Network and ART
Hopfield model-BAM model-BAM stability-Adaptive BAM -Lyapunov function- effect of gain-Hopfield design-Application
to TSP problem-ART- layer 1-layer 2- orienting subsystem-Leaning lawL1-L2-Leaning law L2-L1-ART algorithm- ARTMAP
Unit V Principal Component Analysis and Self Organization
Principle of self organization-Principle Component analysis-Adaptive PCA using Lateral inhibition-Two classes of
PCA
algorithm-Two basic feature- mapping
model-self organizing map-SOM Algorithm-properties
of
the feature map-LVQ-
Hierarchical
vector
Quantization. Applications
of
self-organizing maps:
The
Neural Phonetic Typewriter-Learning Ballistic Arm Movements
TOTAL: 45
TEXT BOOKS:
1. Simon Haykin, “Neural Networks and Learning Machines” -3/E - Pearson/ Prentice Hall
2009
2. Satish Kumar- “Neural Networks : A Classroom Approach”-TMH-
2008
REFERENCES
3. Freeman J.A., Skapura D.M.”Neural networks, algorithms, applications, and programming techniques” -Addition Wesley,
2005.
4. Laurene Fausett, “Fundamentals of Neural Networks: Architectures,
Algorithms, and Applications” - Pearson/ Prentice Hall
5. Robert J Schalkoff-“Artificial Neural Networks,McGraw Hill”-1997
For All Subject Question Papers -Download Link
Related Searches:
Anna University Coimbatore ECE syllabus
Anna University Coimbatore ECE 6th semester syllabus
ECE syllabus for Anna university coimbatore
080290053 Neural Networks and Applications Syllabus
Syllabus for 080290053
Text books for 080290053
Text books for Neural Networks and Applications
Reference books for 080280053
Reference books for Neural Networks and Applications
Syllabus for Neural Networks and Applications
Affiliated institutions ECE 6th sem AU coimbatore syllabus
BE ECE syllabus for anna university coimbatore
AU coimbatore ECE syllabus
AU coimbatore ECE sixth semester syllabus
ECE sixth semester syllabus for Anna university coimbatore
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