Results 71 to 80 of about 1,891,060 (279)

Levenberg-Marquardt Algorithm for Mackey-Glass Chaotic Time Series Prediction

Discrete Dynamics in Nature and Society, 2014
For decades, Mackey-Glass chaotic time series prediction has attracted more and more attention. When the multilayer perceptron is used to predict the Mackey-Glass chaotic time series, what we should do is to minimize the loss function.
Junsheng Zhao, Yongmin Li, Xingjiang Yu, Xingfang Zhang   +3 more
doaj   +1 more source

Time series prediction using ICA algorithms

Second IEEE International Workshop on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 2003. Proceedings, 2004
In this paper we propose a new method for volatile time series forecasting using Independent Component Analysis (ICA) algorithms and Savitzky-Golay filtering as preprocessing tools. The preprocessed data will be introduce in a based radial basis functions (RBF) Artificial Neural Network (ANN) and the prediction result will be compared with the one we ...
Juan M. Gorriz, Carlos G. Puntonet, Moises Salmeron, E. W. Lang   +3 more
openaire   +2 more sources

Identification of serum protein biomarkers for pre‐cancerous lesions associated with pancreatic ductal adenocarcinoma

Molecular Oncology, EarlyView.
This work identified serum proteins associated with pancreatic epithelial neoplasms (PanINs) and early‐stage PDAC. Proteomics screens assessed genetically engineered mice with abundant PanINs, KPC mice (Lox‐STOP‐Lox‐KrasG12D/+ Lox‐STOP‐Lox‐Trp53R172H/+ Pdx1‐Cre) before PDAC development and also early‐stage PDAC patients (n = 31), compared to benign ...
Hannah Mearns, Jaclyn S. Long, Sergio Lilla, Kelly Hodge, Marcus J. G. W. Ladds, Colin Nixon, Paula Fernández‐Palanca, Sara Zanivan, Pilar Acedo, Stephen P. Pereira, Kevin M. Ryan   +10 more
wiley   +1 more source

A sequential coastal current prediction approach based on hierarchical decomposition

Frontiers in Marine Science
Precise prediction of coastal tidal current is essential for the efficient operation of tidal power generation, coastal engineering and maritime activities.
Nini Wang
doaj   +1 more source

Time Series Prediction Based on Complex-Valued S-System Model

Complexity, 2020
Symbolic regression has been utilized to infer mathematical formulas in order to solve the complex prediction and classification problems. In this paper, complex-valued S-system model (CVSS) is proposed to predict real-valued time series data.
Bin Yang, Wenzheng Bao, Yuehui Chen
doaj   +1 more source

Echo state network for occupancy prediction and pattern mining in intelligent environment [PDF]

, 2009
Pattern analysis and prediction of sensory data is becoming an increasing scientific challenge and a massive economical interest supports the need for better pattern mining techniques.
Langensiepen, C, Lotfi, A, Mahmoud, SM, Osman, T, Sherkat, N   +4 more
core  

Genetic attenuation of ALDH1A1 increases metastatic potential and aggressiveness in colorectal cancer

Molecular Oncology, EarlyView.
Aldehyde dehydrogenase 1A1 (ALDH1A1) is a cancer stem cell marker in several malignancies. We established a novel epithelial cell line from rectal adenocarcinoma with unique overexpression of this enzyme. Genetic attenuation of ALDH1A1 led to increased invasive capacity and metastatic potential, the inhibition of proliferation activity, and ultimately ...
Martina Poturnajova, Zuzana Kozovska, Ondrej Pos, Kristina Pavlov, Sachin Gulati, Peter Makovicky, Kristina Jakic, Monika Burikova, Eva Sedlackova, Barbora Svitkova, Silvia Tyciakova, Vojtech Bystry, Nicolas Blavet, Boris Tichy, Matej Hrnciar, Jaroslav Budis, Miroslav Tomas, Peter Dubovan, Georgina Kolnikova, Veronika Repaska, Nikoleta Mojzesova, Eva Zomborska, Daniel Pindak, Michal Mego, Tomas Szemes, Miroslava Matuskova   +25 more
wiley   +1 more source

Chaotic time series. Part II. System Identification and Prediction [PDF]

Modeling, Identification and Control, 1994
This paper is the second in a series of two, and describes the current state of the art in modeling and prediction of chaotic time series. Sample data from deterministic non-linear systems may look stochastic when analysed with linear methods.
Bjørn Lillekjendlie, Dimitris Kugiumtzis, Nils Christophersen   +2 more
doaj   +1 more source

Pre‐analytical optimization of cell‐free DNA and extracellular vesicle‐derived DNA for mutation detection in liquid biopsies

Molecular Oncology, EarlyView.
Pre‐analytical handling critically determines liquid biopsy performance. This study defines practical best‐practice conditions for cell‐free DNA (cfDNA) and extracellular vesicle–derived DNA (evDNA), showing how processing time, storage conditions, tube type, and plasma input volume affect DNA integrity and mutation detection.
Jonas Dohmen, Lucrezia De Santis, Bret M. Stephens, Vincent Bernard, Jörg C. Kalff, Lara Braun, Phillipp Leyendecker, Johannes Röttgen, Daniel Weissinger, Anirban Maitra, Paola A. Guerrero, Alexander Semaan   +11 more
wiley   +1 more source

Model for non-periodic time series prediction

大数据
In practical applications, purely periodic data is relatively rare, and most data often exhibit non-periodic characteristics, making it challenging to predict or describe through simple periodic changes. Single neural network frequently encounters issues
CAO Jianwen, WEI Xingbao, YANG Yi, LI Caihong, ZHAO Wenqing   +4 more
doaj   +2 more sources