AIMC Journal:
IEEE transactions on neural networks and learning systems

Showing 741 to 750 of 817 articles

Two-Stage Orthogonal Least Squares Methods for Neural Network Construction.

IEEE transactions on neural networks and learning systems Sep 11, 2014
A number of neural networks can be formulated as the linear-in-the-parameters models. Training such networks can be transformed to a model selection problem where a compact model is selected from all the candidates using subset selection algorithms. ...
Models, Theoretical Least-Squares Analysis Neural Networks, Computer Artificial Intelligence Algorithms
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Constructing Optimal Prediction Intervals by Using Neural Networks and Bootstrap Method.

IEEE transactions on neural networks and learning systems Sep 10, 2014
This brief proposes an efficient technique for the construction of optimized prediction intervals (PIs) by using the bootstrap technique. The method employs an innovative PI-based cost function in the training of neural networks (NNs) used for estima...
Neural Networks, Computer Algorithms Models, Theoretical Confidence Intervals
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A Hybrid Constructive Algorithm for Single-Layer Feedforward Networks Learning.

IEEE transactions on neural networks and learning systems Sep 9, 2014
Single-layer feedforward networks (SLFNs) have been proven to be a universal approximator when all the parameters are allowed to be adjustable. It is widely used in classification and regression problems. The SLFN learning involves two tasks: determi...
Neural Networks, Computer Machine Learning Least-Squares Analysis Algorithms Neurons Models, Theoretical
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Missile Guidance Law Based on Robust Model Predictive Control Using Neural-Network Optimization.

IEEE transactions on neural networks and learning systems Sep 4, 2014
In this brief, the utilization of robust model-based predictive control is investigated for the problem of missile interception. Treating the target acceleration as a bounded disturbance, novel guidance law using model predictive control is developed...
Nonlinear Dynamics Neural Networks, Computer Algorithms Forecasting Computer Simulation
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Self-Organizing Map With Time-Varying Structure to Plan and Control Artificial Locomotion.

IEEE transactions on neural networks and learning systems Sep 4, 2014
This paper presents an algorithm, self-organizing map-state trajectory generator (SOM-STG), to plan and control legged robot locomotion. The SOM-STG is based on an SOM with a time-varying structure characterized by constructing autonomously close-sta...
Machine Learning Animals Neural Networks, Computer Gait Dogs Locomotion Time Factors Robotics
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Stability Analysis of Distributed Delay Neural Networks Based on Relaxed Lyapunov-Krasovskii Functionals.

IEEE transactions on neural networks and learning systems Aug 28, 2014
This paper revisits the problem of asymptotic stability analysis for neural networks with distributed delays. The distributed delays are assumed to be constant and prescribed. Since a positive-definite quadratic functional does not necessarily requir...
Reproducibility of Results Neural Networks, Computer Algorithms
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A Spiking Neural Simulator Integrating Event-Driven and Time-Driven Computation Schemes Using Parallel CPU-GPU Co-Processing: A Case Study.

IEEE transactions on neural networks and learning systems Aug 26, 2014
Time-driven simulation methods in traditional CPU architectures perform well and precisely when simulating small-scale spiking neural networks. Nevertheless, they still have drawbacks when simulating large-scale systems. Conversely, event-driven simu...
Computer Graphics Computers, Hybrid Cerebellum Algorithms Computer Simulation Nerve Fibers Neural Networks, Computer Reproducibility of Results Microcomputers Purkinje Cells Benchmarking
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An Interval Type-2 Neural Fuzzy System for Online System Identification and Feature Elimination.

IEEE transactions on neural networks and learning systems Aug 21, 2014
We propose an integrated mechanism for discarding derogatory features and extraction of fuzzy rules based on an interval type-2 neural fuzzy system (NFS)-in fact, it is a more general scheme that can discard bad features, irrelevant antecedent clause...
Normal Distribution Online Systems Chemical Industry Algorithms Fuzzy Logic Neural Networks, Computer Computer Simulation Automobiles Machine Learning
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Exponential Stabilization of Memristor-based Chaotic Neural Networks with Time-Varying Delays via Intermittent Control.

IEEE transactions on neural networks and learning systems Aug 19, 2014
This paper is concerned with the global exponential stabilization of memristor-based chaotic neural networks with both time-varying delays and general activation functions. Here, we adopt nonsmooth analysis and control theory to handle memristor-base...
Neural Networks, Computer Microcomputers Electronics Nonlinear Dynamics Algorithms Models, Statistical
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Phase Oscillatory Network and Visual Pattern Recognition.

IEEE transactions on neural networks and learning systems Aug 15, 2014
We explore a properly interconnected set of Kuramoto type oscillators that results in a new associative-memory network configuration, which includes second- and third-order additional terms in the Fourier expansion of the network's coupling. Investig...
Fourier Analysis Electronic Data Processing Memory Information Storage and Retrieval Pattern Recognition, Automated Reproducibility of Results Algorithms Neural Networks, Computer Color
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