Applied Artificial Neural Network by Christian DawsonApplied Artificial Neural Network by Christian Dawson

Applied Artificial Neural Network

Guest editorChristian Dawson

Hardcover | November 11, 2016

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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.

Title:Applied Artificial Neural NetworkFormat:HardcoverProduct dimensions:258 pages, 9.61 × 6.69 × 0.81 inShipping dimensions:9.61 × 6.69 × 0.81 inPublished:November 11, 2016Publisher:MDPI AGLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:3038422703

ISBN - 13:9783038422709


Table of Contents

1) Comparative Study on Theoretical and Machine Learning Methods for AcquiringCompressed Liquid Densities of 1,1,1,2,3,3,3-Heptafluoropropane (R227ea)via Song and Mason Equation, Support Vector Machine, and ArtificialNeural Networks2) Determination of Optimal Initial Weights of an Artificial Neural Network byUsing the Harmony Search Algorithm: Application to Breakwater Armor Stones3) Network Modeling and Assessment of Ecosystem Health by a Multi-PopulationSwarm Optimized Neural Network Ensemble4) Simulation of Reservoir Sediment Flushing of the Three Gorges Reservoir Usingan Artificial Neural Network5) Prediction of the Hot Compressive Deformation Behavior for Superalloy Nimonic80A by BP-ANN Model6) Classifying Four Carbon Fiber Fabrics via Machine Learning: A ComparativeStudy Using ANNs and SVM7) A Selective Dynamic Sampling Back-Propagation Approach for Handling theTwo-Class Imbalance Problem8) NHL and RCGA Based Multi-Relational Fuzzy Cognitive Map Modeling forComplex Systems9) Dual-Tree Complex Wavelet Transform and Twin Support Vector Machine forPathological Brain Detection10) 2D Gaze Estimation Based on Pupil-Glint Vector Using an ArtificialNeural Network11) A Modified Feature Selection and Artificial Neural Network-Based Day-AheadLoad Forecasting Model for a Smart Grid12) Improving Multi-Instance Multi-Label Learning by Extreme Learning Machine