Handbook of Neural Computation

<p>1. Gravitational Search Algorithm With Chaos <br>2. Textures and Rough Sets<br>3. Hydrological time series forecasting using three different heuristic regression techniques<br>4. A reflection on image classifications for forest ecology management: Towards landscape mapping and monitoring<br>5. An Intelligent Hybridization of ABC and LM Algorithms with Constraint Engineering Applications<br>6. Network Intrusion Detection Model based on Fuzzy-Rough Classifiers<br>7. Efficient System Reliability Analysis of Earth Slopes Based on Support Vector Machine Regression Models<br>8.  Predicting Short-Term Congested Traffic Flow on Urban Motorway Networks<br>9. Object Categorization Using Adaptive Graph-based Semi-supervised Learning<br>10. Hemodynamic Model Inversion by Iterative Extended Kalman Smoother<br>11. Improved Sparse Approximation Models for Stochastic Computations<br>12. Symbol Detection in Multiple Antenna Wireless Systems via Ant Colony Optimization<br>13. Application of particle swarm optimization to solve robotic assembly line balancing problems<br>14. The cuckoo optimization algorithm and its applications<br>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<br>16. Modelling the axial capacity of bored piles using multi-objective feature selection, functional network and multivariate adaptive regression spline<br>17. Transient stability constrained optimal power flow using chaotic whale optimization algorithm<br>18. Slope Stability Evaluation Using Radial Basis Function Neural Network, Least Squares Support Vector Machines, and Extreme Learning Machine<br>19. Alternating Decision Trees<br>20. Scene Understanding Using Deep Learning<br>21. Deep Learning for Coral Classification<br>22. A Deep Learning Framework for Classifying Mysticete Sounds<br>23. Unsupervised deep learning for data-driven reliability and risk analysis of engineered systems<br>24. Applying Machine Learning Algorithms in Landslide Susceptibility Assessments<br>25. MDHS-LPNN: A hybrid FOREX predictor model using a Legendre polynomial Neural Network with a Modified Differential Harmony Search technique<br>26. A Neural Model of Attention and Feedback for Computing Perceived Brightness in Vision<br>27. Support Vector Machine: Principles, Parameters and Applications<br>28. Evolving Radial Basis Function Networks using Moth-Flame Optimizer<br>29. Application of Fuzzy Methods in Power system Problems<br>30. Application of Particle Swarm Optimization Algorithm in Power system Problems<br>31. Optimum Design of Composite Steel-Concrete Floors Based on a Hybrid Genetic Algorithm<br>32. A Comparative Study of Image Segmentation Algorithms and Descriptors for Building Detection<br>33. Object-Oriented Random Forest for High Resolution Land Cover Mapping Using Quickbird-2 Imagery</p>