Tan, Randy Gao, Lei Khan, Naimul Guan, Ling
Published in
Neural networks : the official journal of the International Neural Network Society
In current deep learning architectures, each of the deeper layers in networks tends to contain hundreds of unorganized neurons which makes it hard for humans to understand how they interact with each other. By organizing the neurons using correlation as the criteria, humans can observe how clusters of neighbouring neurons interact with each other. ...
Vadoodi, Roshanak
The Fennoscandian Shield as a part of a large Precambrian basement area is located in northern Europe and hosts economically important mineral deposits including base metals and precious metals. Regional geophysical data such as potential field and magnetotelluric data in combination with other geoscientific data contain information of importance f...
Ammouri, Jamal Minet, Pascale Boudiaf, Malika Bouzefrane, Samia Yacoub, Meziane
Soil degradation and hot climate explain the poor yield of olive groves in North Algeria. Edaphic and climatic data were collected from olive groves and analyzed by Self-Organizing Maps (SOMs). SOM is a non-supervised neural network that projects high-dimensional data onto a low-dimension topological map, while preserving the neighborhood. In this ...
Lokesh, S. Malarvizhi Kumar, Priyan Ramya Devi, M. Parthasarathy, P. Gokulnath, C.
Published in
Neural Computing and Applications
Speech recognition is one of the entrancing fields in the zone of computer science. Exactness of speech recognition framework may decrease because of the nearness of noise exhibited by the speech signal. Consequently, noise removal is a fundamental advance in automatic speech recognition (ASR) system. ASR is researched for various languages in ligh...
Srikanth, D. Sakthivel, S.
Published in
Wireless Personal Communications
Web document clustering identifies the relevant and useful information like comparing shopping service provider from flipkart.com, information retrieval from web search engines and so on. Choosing the best representation and enhancing knowledge discovery for a given task in very large textual data stores is the most critical step in web document cl...
Mikaeil, Reza Haghshenas, Sina Shaffiee Hoseinie, Seyed Hadi
Published in
Geotechnical and Geological Engineering
Penetrability is a dominant factor in selecting the suitable drilling method, adjustment of machine parameters and tool wear analysis. In this paper, it is aimed to classify the rock penetrability using Artificial Bee Colony (ABC) algorithm as one of the powerful meta-heuristic algorithms and Self-Organizing Map (SOM) as one of the precise scientif...
Suzuki, Masaki Plessis, Quentin Kitahara, Takeshi Tsuru, Masato
In order to seamlessly provide high quality communication services, mobile network operators (MNOs) tackle to promptly respond to a degradation of the communication quality when it occurs. MNOs are facing a difficulty to detect the degradation without any error messages or nonconformity. For the first step of the study, we implemented a Self-Organi...
Bouvier, Guillaume Desdouits, Nathan Ferber, Mathias Blondel, Arnaud Nilges, Michael
Sampling the conformational space of biological macromolecules generates large sets of data with considerable complexity. Data-mining techniques, such as clustering, can extract meaningful information. Among them, the self-organizing maps (SOMs) algorithm has shown great promise; in particular since its computation time rises only linearly with the...
Nikoo, Mohammad Reza Mahjouri, Najmeh
Published in
Water Resources Management
Water quality zoning is an important step for studying and evaluating surface and groundwater quality variations with time and space. It can also provide important information for developing efficient water quality management strategies. Most common methods for water quality zoning do not consider the uncertainties associated with water resources s...
Yahi, Houda Weill, Alain Crépon, Michel Ung, Antoni Thiria, Sylvie
A method of retrieving PM10 particles concentrations at the ground level from AOT (Aerosol Optical Thickness) measurements is presented. It uses data obtained among five years during 2003 to 2007 summers in the Lille region (northern France). As PM10 concentration strongly depends on meteorological variables, we clustered the meteorologi- cal situa...
