Anna University -Study Materials for all Departments Latest News

080290053 Neural Networks and Applications ECE 6th Semester Anna University Coimbatore Syllabus Regulation 2008

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

(Regulation 2008/2010)
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

Like our Facebook Page to get regular Updates

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-organizinmaps:  The Neural Phonetic Typewriter-Learning Ballistic Arm Movements



1.  Simon Haykin, Neural Networks and Learning Machines -3/E - Pearson/ Prentice Hall  2009
2.  Satish Kumar- Neural Networks : A Classroom Approach-TMH-


3.  Freeman J.A., Skapura D.M.Neural networks, algorithms, applications, and programming techniques” -Addition Wesley,

4.  Laurene Fausett, Fundamentals of Neural Networks: Architectures, Algorithms, and Applications - Pearson/ Prentice Hall

5.  Robert J Schalkoff-“Artificial Neural Networks,McGraw Hill-1997

ATTACHMENT    Download

For All Subject Syllabus-Download Link

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
Share on Google Plus
    Blogger Comment


Post a Comment