Applied artificial neural networks / / edited by Christian Dawson.

• TeilnehmendeR: Dawson, Christian,
• Place / Publishing House: Basel, Switzerland : : MDPI,, [2016]; ©2016
• Year of Publication: 2016
• Language: English
• Physical Description: 1 online resource (258 pages) :; illustrations

Since their re-popularisation in the mid-1980s, artificial neural networks have seen an explosion of research across a diverse spectrum of areas. While an immense amount of research has been undertaken in artificial neural networks themselves--in terms of training, topologies, types, etc.--a similar amount of work has examined their application to a whole host of real-world problems. Such problems are usually difficult to define and hard to solve using conventional techniques. Examples include computer vision, speech recognition, financial applications, medicine, meteorology, robotics, hydrology, etc. This Special Issue focuses on the second of these two research themes, that of the application of neural networks to a diverse range of fields and problems. It collates contributions concerning neural network applications in areas such as engineering, hydrology and medicine.

Table of Contents

List of Contributors. VII -- About the Guest Editor.XII -- Preface to "Applied Artificial Neural Networks" .XIIII -- Hao Li, Xindong Tang, Run Wang, Fan Lin, Zhijian Liu and Kewei Cheng Comparative Study on Theoretical and Machine Learning Methods for Acquiring Compressed Liquid Densities of 1,1,1,2,3,3,3-Heptafluoropropane (R227ea) via Song and Mason Equation, Support Vector Machine, and Artificial Neural Networks Reprinted from: Appl. Sci. 2016, 6(1), 25 http://www.mdpi.com/2076-3417/6/1/251 -- Anzy Lee, Zong Woo Geem and Kyung-Duck Suh Determination of Optimal Initial Weights of an Artificial Neural Network by Using the Harmony Search Algorithm: Application to Breakwater Armor Stones Reprinted from: Appl. Sci. 2016, 6(6), 164 http://www.mdpi.com/2076-3417/6/6/16418 -- Rong Shan, Zeng-Shun Zhao, Pan-Fei Chen, Wei-Jian Liu, Shu-Yi Xiao, Yu-Han Hou, Mao-Yong Cao, Fa-Liang Chang and Zhigang Wang Network Modeling and Assessment of Ecosystem Health by a Multi-Population Swarm Optimized Neural Network Ensemble Reprinted from: Appl. Sci. 2016, 6(6), 175 http://www.mdpi.com/2076-3417/6/6/17541 -- Xueying Li, Jun Qiu, Qianqian Shang and Fangfang Li Simulation of Reservoir Sediment Flushing of the Three Gorges Reservoir Using an Artificial Neural Network Reprinted from: Appl. Sci. 2016, 6(5), 148 http://www.mdpi.com/2076-3417/6/5/14858 -- Guo-zheng Quan, Jia Pan and Xuan Wang Prediction of the Hot Compressive Deformation Behavior for Superalloy Nimonic 80A by BP-ANN Model Reprinted from: Appl. Sci. 2016, 6(3), 66 http://www.mdpi.com/2076-3417/6/3/6673 -- Min Zhao, Zijun Li and Wanfei He Classifying Four Carbon Fiber Fabrics via Machine Learning: A Comparative Study Using ANNs and SVM Reprinted from: Appl. Sci. 2016, 6(8), 209 http://www.mdpi.com/2076-3417/6/8/20994 -- Roberto Alejo, Juan Monroy-de-Jesús, Juan H. Pacheco-Sánchez, Erika López-González and Juan A. Antonio-Velázquez A Selective Dynamic Sampling Back-Propagation Approach for Handling the Two-Class Imbalance Problem Reprinted from: Appl. Sci. 2016, 6(7), 200 http://www.mdpi.com/2076-3417/6/7/200106 -- Zhen Peng, Lifeng Wu and Zhenguo Chen NHL and RCGA Based Multi-Relational Fuzzy Cognitive Map Modeling for Complex Systems Reprinted from: Appl. Sci. 2015, 5(4), 1399-1411 http://www.mdpi.com/2076-3417/5/4/1399129 -- Shuihua Wang, Siyuan Lu, Zhengchao Dong, Jiquan Yang, Ming Yang and Yudong Zhang Dual-Tree Complex Wavelet Transform and Twin Support Vector Machine for Pathological Brain Detection Reprinted from: Appl. Sci. 2016, 6(6), 169 http://www.mdpi.com/2076-3417/6/6/169143 -- Jianzhong Wang, Guangyue Zhang and Jiadong Shi 2D Gaze Estimation Based on Pupil-Glint Vector Using an Artificial Neural Network Reprinted from: Appl. Sci. 2016, 6(6), 174 http://www.mdpi.com/2076-3417/6/6/174168 -- Ashfaq Ahmad, Nadeem Javaid, Nabil Alrajeh, Zahoor Ali Khan, Umar Qasim and Abid Khan A Modified Feature Selection and Artificial Neural Network-Based Day-Ahead Load Forecasting Model for a Smart Grid Reprinted from: Appl. Sci. 2015, 5(4), 1756-1772 http://www.mdpi.com/2076-3417/5/4/1756191 -- Ying Yin, Yuhai Zhao, Chengguang Li and Bin Zhang Improving Multi-Instance Multi-Label Learning by Extreme Learning Machine Reprinted from: Appl. Sci. 2016, 6(6), 160 http://www.mdpi.com/2076-3417/6/6/160 212.