Introduction to neural network and improved algorithm to avoid local minima and faster convergence

Communications in Computer and Information Science

Volumn 250 CCIS, Issue , 2011, Pages 396-400

  Bari, Ayesha ^a   Bhasin, Kavleen ^a   Karnawat, Darshan N ^b  

^a G B PANT UNIVERSITY OF AGRICULTURE AND TECHNOLOGY   (India)

^b DKTE Society's Textile and Engineering Institute India   (India)

Author keywords

Back Propagation Algorithm; Differential Adaptive Learning; Multiplicative Neuron Model; Premature Saturation; Supervised Learning

Indexed keywords

ADAPTIVE LEARNING; BIOLOGICAL NEURAL NETWORKS; FASTER CONVERGENCE; FUNCTIONAL ASPECTS; IMPROVED ALGORITHM; LEARNING RULES; LOCAL MINIMUMS; MULTIPLICATIVE NEURON MODEL; NEURON MODEL; PARALLEL DISTRIBUTED PROCESSOR; PREMATURE SATURATION;

ADAPTIVE ALGORITHMS; BACKPROPAGATION; CONVERGENCE OF NUMERICAL METHODS; DATA HANDLING; DISTRIBUTED COMPUTER SYSTEMS; INFORMATION TECHNOLOGY; LEARNING ALGORITHMS; NETWORK ARCHITECTURE; SUPERVISED LEARNING;

NEURAL NETWORKS;

EID: 84055217514     PISSN: 18650929     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-642-25734-6_61     Document Type: Conference Paper

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