Handbook of Neural Computation 1st Edition, Elsevier,2017

Handbook of Neural Computation 1st Edition, Elsevier,2017


Handbook of Neural Computation explores neural computation applications, ranging from conventional fields of mechanical and civil engineering, to electronics, electrical engineering and computer science. This book covers the numerous applications of artificial and deep neural networks and their uses in learning machines, including image and speech recognition, natural language processing and risk analysis. Edited by renowned authorities in this field, this work is comprised of articles from reputable industry and academic scholars and experts from around the world.
Each contributor presents a specific research issue with its recent and future trends. As the demand rises in the engineering and medical industries for neural networks and other machine learning methods to solve different types of operations, such as data prediction, classification of images, analysis of big data, and intelligent decision-making, this book provides readers with the latest, cutting-edge research in one comprehensive text.

Editors: Pijush Samui Sanjiban Sekhar Roy Valentina E. Balas

Key Features

Features high-quality research articles on multivariate adaptive regression splines, the minimax probability machine, and more
Discusses machine learning techniques, including classification, clustering, regression, web mining, information retrieval and natural language processing
Covers supervised, unsupervised, reinforced, ensemble, and nature-inspired learning methods

Readership

Professional engineers, research engineers, graduate students, PhD students

Table of Contents

1. Gravitational Search Algorithm With Chaos Seyedali Mirjalili, Amir H. Gandomi 2. Textures and Rough Sets Murat Diker 3. Hydrological time series forecasting using three different heuristic regression techniques Ozgur Kisi, Jalal Shiri, Vahdettin Demir 4. A reflection on image classifications for forest ecology management: Towards landscape mapping and monitoring Anusheema Chakraborty, Kamna Sachdeva, P.K. Joshi 5. An Intelligent Hybridization of ABC and LM Algorithms with Constraint Engineering Applications Erdem Dilmen, Selim Yilmaz, Selami Beyhan 6. Network Intrusion Detection Model based on Fuzzy-Rough Classifiers Ashalata Panigrahi, Manas Ranjan Patra 7. Efficient System Reliability Analysis of Earth Slopes Based on Support Vector Machine Regression Models S. Metya, T. Mukhopadhyay, S. Adhikari , G. Bhattacharya 8.  Predicting Short-Term Congested Traffic Flow on Urban Motorway Networks Taiwo Adetiloye and Anjali Awasthi 9. Object Categorization Using Adaptive Graph-based Semi-supervised Learning F. Dornaika, A. Bosaghzadeh, H. Salmane, and Y. Ruichek 10. Hemodynamic Model Inversion by Iterative Extended Kalman Smoother Serdar Aslan 11. Improved Sparse Approximation Models for Stochastic Computations Tanmoy Chatterjee, Rajib Chowdhury 12. Symbol Detection in Multiple Antenna Wireless Systems via Ant Colony Optimization Manish Mandloi, Vimal Bhatia 13. Application of particle swarm optimization to solve robotic assembly line balancing problems J Mukund Nilakantan, S.G. Ponnambalam, Peter Nielsen 14. The cuckoo optimization algorithm and its applications Mohamed Arezki Mellal, Edward J. Williams 15. Hybrid Intelligent Model Based on Least Squared Support Vector Regression and Artificial Bee Colony Optimization for Time Series Modeling and Forecasting Horizontal Displacement of Hydropower Dam Tien Bui, Kien-Trinh Thi Bui, Quang-Thanh Bui, Chinh Van Doan, Nhat-Duc Hoang 16. Modelling the axial capacity of bored piles using multi-objective feature selection, functional network and multivariate adaptive regression spline Ranajeet Mohanty, Shakti Suman, Sarat Kumar Das 17. Transient stability constrained optimal power flow using chaotic whale optimization algorithm Dharmbir Prasad, Aparajita Mukherjee, V. Mukherjee 18. Slope Stability Evaluation Using Radial Basis Function Neural Network, Least Squares Support Vector Machines, and Extreme Learning Machine Nhat-Duc Hoang, Dieu Tien Bui 19. Alternating Decision Trees Melanie Po-Leen Ooi, Hong Kuan Sok, Ye Chow Kuang, Serge Demidenko 20. Scene Understanding Using Deep Learning Farzad Husain, Babette Dellen, Carme Torras 21. Deep Learning for Coral Classification Ammar Mahmood, Mohammed Bennamoun, Senjian An, Ferdous Sohel, Farid Boussaid, Renae Hovey, Gary Kendrick, Robert B. Fisher 22. A Deep Learning Framework for Classifying Mysticete Sounds Stavros Ntalampiras 23. Unsupervised deep learning for data-driven reliability and risk analysis of engineered systems Peng Jiang, Mojtaba Maghrebi, Alan Crosky, Serkan Saydam 24. Applying Machine Learning Algorithms in Landslide Susceptibility Assessments Paraskevas Tsangaratos, Ioanna Ilia 25. MDHS-LPNN: A hybrid FOREX predictor model using a Legendre polynomial Neural Network with a Modified Differential Harmony Search technique Rajashree Dash, Pradipta Kishore Dash 26. A Neural Model of Attention and Feedback for Computing Perceived Brightness in Vision Ashish Bakshi, Kuntal Ghosh 27. Support Vector Machine: Principles, Parameters and Applications Raoof Gholami, Nikoo Fakhari 28. Evolving Radial Basis Function Networks using Moth-Flame Optimizer Hossam Faris, Ibrahim Aljarah, Seyedali Mirjalili 29. Application of Fuzzy Methods in Power system Problems Sajad Madadi, Morteza Nazari-Heris, Behnam Mohammdi-Ivatloo 30. Application of Particle Swarm Optimization Algorithm in Power system Problems Milad Zamani-Gargari, Morteza Nazari-Heris, Behnam Mohammadi-Ivatloo 31. Optimum Design of Composite Steel-Concrete Floors Based on a Hybrid Genetic Algorithm Mohamed G. Sahab, Vassili V. Toropov, Amir H. Gandomi 32. A Comparative Study of Image Segmentation Algorithms and Descriptors for Building Detection F. Dornaika, A. Moujahid, Y. El Merabet, Y. Ruichek 33. Object-Oriented Random Forest for High Resolution Land Cover Mapping Using Quickbird-2 Imagery Taskin Kavzoglu

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Link: Handbook of Neural Computation 1st Edition, Elsevier,2017