Artificial Neural Networks

Chapter 1 Recurrent Neural Networks and Super-Turing Interactive Computation

Chapter 2 Image Classification with Nonnegative Matrix Factorization Based on Spectral Projected Gradient

Chapter 3 Energy-Time Tradeoff in Recurrent Neural Nets

Chapter 5 Double-Layer Vector Perceptron for Binary Patterns Recognition

Chapter 6 Local Detection of Communities by Attractor Neural-Network Dynamics

Chapter 7 Learning Gestalt Formations for Oscillator Networks

Chapter 8 Analysing the Multiple Timescale Recurrent Neural Network for Embodied Language Understanding

Chapter 9 Learning to Look and Looking to Remember: A Neural-Dynamic Embodied Model for Generation of Saccadic Gaze Shifts and Memory Formation

Chapter 10 How to Pretrain Deep Boltzmann Machines in Two Stages

Chapter 11 Training Dynamic Neural Networks Using the Extended Kalman Filter for Multi-Step-Ahead Predictions

Chapter 12 Learning as Constraint Reactions

Chapter 13 Baseline-Free Sampling in Parameter Exploring Policy Gradients: Super Symmetric PGPE

Chapter 14 Sparse Approximations to Value Functions in Reinforcement Learning

Chapter 15 Neural Networks Solution of Optimal Control Problems with Discrete Time Delays and Time-Dependent Learning of Infinitesimal Dynamic System

Chapter 16 Applying Prototype Selection and Abstraction Algorithms for Efficient Time-Series Classification

Chapter 17 Enforcing Group Structure through the Group Fused Lasso

Chapter 18 Incremental Anomaly Identification in Flight Data Analysis by Adapted One-Class SVM Method

Chapter 19 Inertial Gesture Recognition with BLSTM-RNN

Chapter 20 Online Recognition of Fixations, Saccades, and Smooth Pursuits for Automated Analysis of Traffic Hazard Perception

Chapter 21 Input Transformation and Output Combination for Improved Handwritten Digit Recognition

Chapter 22 Feature Selection for Interval Forecasting of Electricity Demand Time Series Data

Chapter 23 Stacked Denoising Auto-Encoders for Short-Term Time Series Forecasting