Open AccessBook
Pattern Recognition with Fuzzy Objective Function Algorithms
Reads0
Chats0
TLDR
Books, as a source that may involve the facts, opinion, literature, religion, and many others are the great friends to join with, becomes what you need to get.Abstract:
New updated! The latest book from a very famous author finally comes out. Book of pattern recognition with fuzzy objective function algorithms, as an amazing reference becomes what you need to get. What's for is this book? Are you still thinking for what the book is? Well, this is what you probably will get. You should have made proper choices for your better life. Book, as a source that may involve the facts, opinion, literature, religion, and many others are the great friends to join with.read more
Citations
More filters
Journal ArticleDOI
Sensitivity and identifiability of stream flow generation parameters of the SWAT model
TL;DR: In this paper, the authors present a sensitivity and identifiability analysis of model parameters that influence stream flow generation in SWAT and evaluate the sensitivity of the parameters in different climatic settings, temporal scales and flow regimes.
Journal ArticleDOI
A Multiple-Kernel Fuzzy C-Means Algorithm for Image Segmentation
TL;DR: The proposed MKFCM algorithm provides a new flexible vehicle to fuse different pixel information in image-segmentation problems and is shown that two successful enhanced KFCM-based image- Segmentation algorithms are special cases ofMKFCM.
Journal ArticleDOI
Pseudospectra, MUSIC, and dynamic wavelet neural network for damage detection of highrise buildings
Xiaomo Jiang,Hojjat Adeli +1 more
TL;DR: In this article, a nonparametric system identification-based model is presented for damage detection of high-rise building structures subjected to seismic excitations using the dynamic fuzzy wavelet neural network (WNN) model developed by the authors.
Proceedings ArticleDOI
MineBench: A Benchmark Suite for Data Mining Workloads
TL;DR: MineBench is presented, a publicly available benchmark suite containing fifteen representative data mining applications belonging to various categories such as clustering, classification, and association rule mining that will be of use to those looking to characterize and accelerate data mining workloads.
Journal ArticleDOI
A new vibrational genetic algorithm enhanced with a Voronoi diagram for path planning of autonomous UAV
TL;DR: A new optimization algorithm called multi-frequency vibrational genetic algorithm (mVGA) that can be used to solve the path planning problems of autonomous unmanned aerial vehicles (UAVs) is significantly improved.
References
More filters
Journal ArticleDOI
Nearest neighbor pattern classification
Thomas M. Cover,Peter E. Hart +1 more
TL;DR: The nearest neighbor decision rule assigns to an unclassified sample point the classification of the nearest of a set of previously classified points, so it may be said that half the classification information in an infinite sample set is contained in the nearest neighbor.
Book
Introduction to Statistical Pattern Recognition
TL;DR: This completely revised second edition presents an introduction to statistical pattern recognition, which is appropriate as a text for introductory courses in pattern recognition and as a reference book for workers in the field.
A fuzzy relative of the isodata process and its use in detecting compact well-separated clusters
TL;DR: In this paper, two fuzzy versions of the k-means optimal, least squared error partitioning problem are formulated for finite subsets X of a general inner product space, and the extremizing solutions are shown to be fixed points of a certain operator T on the class of fuzzy, k-partitions of X, and simple iteration of T provides an algorithm which has the descent property relative to the LSE criterion function.