- Guest editorial - Special issue on neural networks hardware implementations
- Computational Auditory Scene Analysis: Principles, Algorithms, and Applications (Wang, D. and Brown, G.J., Eds.; 2006) [Book review]
- Reinforcement Learning: An Introduction
- Combining Pattern Classifiers: Methods and Algorithms (Kuncheva, L.I.; 2004) [book review]
- Neural Fuzzy Systems: A Neuro-Fuzzy Synergism to Intelligent Systems [Book review]
- Learning Kernel Classifiers: Theory and Algorithms (Herbrich, R.; 2002) [Book reviews]
- Pattern Recognition (Theodoridis, S. and Koutroumbas, K.; 2006) [Book reviews]
- [ieee.org] Survey of Clustering Algorithms
- Neuro-fuzzy rule generation: survey in soft computing framework
- Gradient calculations for dynamic recurrent neural networks: a survey
- An introduction to simulated evolutionary optimization
- Constructive algorithms for structure learning in feedforward neural networks for regression problems
- Survey of neural network technology for automatic target recognition
- A neural-network architecture for syntax analysis
- Web mining in soft computing framework: relevance, state of the art and future directions
- The Graph Neural Network Model
- Multiagent Reinforcement Learning: Spiking and Nonspiking Agents in the Iterated Prisoner's Dilemma
- Guest Editorial Special Issue on Neural Networks for Feedback Control Systems
- Implementation issues of neuro-fuzzy hardware: going toward HW/SW codesign
- A Modified Backpropagation Learning Algorithm With Added Emotional Coefficients
- Dynamically Reconfigurable Silicon Array of Spiking Neurons With Conductance-Based Synapses
- Neural networks in financial engineering: a study in methodology
- COVNET: a cooperative coevolutionary model for evolving artificial neural networks
- Sensitivity Versus Accuracy in Multiclass Problems Using Memetic Pareto Evolutionary Neural Networks
- Robust Neural Network Motion Tracking Control of Piezoelectric Actuation Systems for Micro/Nanomanipulation
- A fuzzy inference engine in nonlinear analog mode and its application to a fuzzy logic control
- FCMAC-Yager: A Novel Yager-Inference-Scheme-Based Fuzzy CMAC
- Comparative study of stock trend prediction using time delay, recurrent and probabilistic neural networks
- MCES: A Novel Monte Carlo Evaluative Selection Approach for Objective Feature Selections
- Continuous speech recognition by connectionist statistical methods
- A Bioinspired Neural Network for Real-Time Concurrent Map Building and Complete Coverage Robot Navigation in Unknown Environments
- Density estimation and random variate generation using multilayer networks
- A Lagrangian relaxation network for graph matching
- Blind Image Quality Assessment Using a General Regression Neural Network
- Modeling Activity-Dependent Plasticity in BCM Spiking Neural Networks With Application to Human Behavior Recognition
- Stock Trading Using RSPOP: A Novel Rough Set-Based Neuro-Fuzzy Approach
- Application of IFT and SPSA to Servo System Control
- Real-time collision-free motion planning of a mobile robot using a neural dynamics-based approach
- A New Approach to Knowledge-Based Design of Recurrent Neural Networks
- Locally recurrent globally feedforward networks: a critical review of architectures
- Hybrid Multiobjective Evolutionary Design for Artificial Neural Networks
- Lag Synchronization of Unknown Chaotic Delayed Yang–Yang-Type Fuzzy Neural Networks With Noise Perturbation Based on Adaptive Control and Parameter Identification
- The MCA EXIN neuron for the minor component analysis
- Incremental Learning From Stream Data
- Incremental Learning of Concept Drift in Nonstationary Environments
- Fuzzy Wavelet Neural Network Models for Prediction and Identification of Dynamical Systems
- A new evolutionary system for evolving artificial neural networks
- Adaptive Dynamic Programming for Finite-Horizon Optimal Control of Discrete-Time Nonlinear Systems With $\varepsilon$-Error Bound
- Constructing Ensembles of Classifiers by Means of Weighted Instance Selection
- Stability and Almost Disturbance Decoupling Analysis of Nonlinear System Subject to Feedback Linearization and Feedforward Neural Network Controller
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