Applied artificial neural networks / / edited by Christian Dawson.

• TeilnehmendeR: Dawson, Christian,
• Place / Publishing House: Basel, Switzerland : : MDPI - Multidisciplinary Digital Publishing Institute,, 2016.
• Year of Publication: 2016
• Language: English
• Physical Description: 1 online resource (258 pages)

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...

Table of Contents

• List of Contributors
• About the Guest Editor
• Preface to "Applied Artificial Neural Networks"
• 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.