Dawson C. (Ed.) Applied Artificial Neural Networks

Basel, Switzerland: MDPI AG, 2016. — 260 p. — ISBN: 3038422703.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.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
Determination of Optimal Initial Weights of an Artificial Neural Network by Using the Harmony Search Algorithm: Application to Breakwater Armor Stones
Network Modeling and Assessment of Ecosystem Health by a Multi-Population Swarm Optimized Neural Network Ensemble
Simulation of Reservoir Sediment Flushing of the Three Gorges Reservoir Using an Artificial Neural Network
Prediction of the Hot Compressive Deformation Behavior for Superalloy Nimonic 80A by BP-ANN Model
Classifying Four Carbon Fiber Fabrics via Machine Learning: A Comparative Study Using ANNs and SVM
A Selective Dynamic Sampling Back-Propagation Approach for Handling the Two-Class Imbalance Problem
NHL and RCGA Based Multi-Relational Fuzzy Cognitive Map Modeling for Complex Systems
Dual-Tree Complex Wavelet Transform and Twin Support Vector Machine for Pathological Brain Detection
2D Gaze Estimation Based on Pupil-Glint Vector Using an Artificial Neural Network
A Modified Feature Selection and Artificial Neural Network-Based Day-Ahead Load Forecasting Model for a Smart Grid
Improving Multi-Instance Multi-Label Learning by Extreme Learning Machine