Chapter 1—Preliminaries 1.1. Computational Intelligence: its inception and research agenda 1.2. Organization and readership 1.3. References Chapter 2—Neural Networks and Neurocomputing 2.1. Introduction 2.2. Generic models of computational neurons 2
The recent pursuits emerging in the realm of big data processing, interpretation, collection and organization have emerged in numerous sectors including business, industry and government organizations. Data sets such as customer transactions for a m
Hybrid Artificial Intelligent Systems: 13th International Conference, HAIS 2018, Oviedo, Spain, June 20-22, 2018, Proceedings (Lecture Notes in Computer Science) This volume constitutes the refereed proceedings of the 13th International Conference o
Geometric Algebra Applications Vol. I: Computer Vision, Graphics and Neurocomputing pdf The goal of the Volume I Geometric Algebra for Computer Vision, Graphics and Neural Computing is to present a unified mathematical treatment of diverse problems
This book describes new theories and applications of artificial neural networks, with a special focus on neural computation, cognitive science and machine learning. It discusses cutting-edge research at the intersection between different fields, fro
AWE Toolbox is intended for automatic evaluation of feature extractor methods on image datasets. AWE Dataset is already included, as well as some extraction methods. You can use (and modify, but leave headers in the code) the toolbox and the dataset
本资源包括异常检测领域的论文七篇，翻译两篇，包括2016-Social Science Electronic Publishing---outlier detection in structural time series models、2017-Neurocomputing---Unsupervised real-time anomaly detection for streaming data、2018-IEEE Access---An Outlier Detection Algorith
Citation: M. Mafarja and S. Mirjalili. Hybrid Whale Optimization Algorithm with Simulated Annealing for Feature Selection. Neurocomputing , in press, DOI: https://doi.org/10.1016/j.neucom.2017.04.053.
Matrix factorization is a powerful data analysis tool. It has been used in multivariate time series analysis, leading to the decomposition of the series in a small set of latent factors. However, little is known on the statistical performances of mat
