Fuzzy based genetic neural networks for the classification of murder cases using Trapezoidal and Lagrange Interpolation Membership Functions

Applied Soft Computing Journal

Volumn 13, Issue 1, 2013, Pages 743-754

  Janeela Theresa, M M ^a   Joseph Raj, V ^b  

^a ST XAVIER S CATHOLIC COLLEGE OF ENGINEERING   (India)

^b MANONMANIAM SUNDARANAR UNIVERSITY   (India)

Author keywords

Artificial Neural Network (ANN); Criminal law; Fuzzy neural network (FNN); Genetic Algorithm (GA); Lagrange Interpolation and Trapezoidal Membership Functions; Pattern classification

Indexed keywords

CLASSIFICATION MODELS; COMPARATIVE STUDIES; CRIMINAL LAW; DECISION SYSTEMS; GAUSSIAN MEMBERSHIP FUNCTION; GENETIC NEURAL NETWORK; LAGRANGE INTERPOLATIONS; MURDER CASE; RANDOM WEIGHT; RATE OF CONVERGENCE; SIMULATION PROGRAM;

APPROXIMATION THEORY; CRIME; GENETIC ALGORITHMS; INTERPOLATION; LAGRANGE MULTIPLIERS; MEMBERSHIP FUNCTIONS; NEURAL NETWORKS; PATTERN RECOGNITION;

FUZZY NEURAL NETWORKS;

EID: 84869485346     PISSN: 15684946     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.asoc.2012.08.025     Document Type: Article

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