AIMC Journal:
IEEE transactions on neural networks and learning systems

Showing 661 to 670 of 817 articles

Twin Neurons for Efficient Real-World Data Distribution in Networks of Neural Cliques: Applications in Power Management in Electronic Circuits.

IEEE transactions on neural networks and learning systems Oct 26, 2015
Associative memories are data structures that allow retrieval of previously stored messages given part of their content. They, thus, behave similarly to the human brain's memory that is capable, for instance, of retrieving the end of a song, given it...
Humans Neurons Statistics as Topic Neural Networks, Computer Artificial Intelligence
View on PubMed DOI

Multi-AUV Target Search Based on Bioinspired Neurodynamics Model in 3-D Underwater Environments.

IEEE transactions on neural networks and learning systems Oct 16, 2015
Target search in 3-D underwater environments is a challenge in multiple autonomous underwater vehicles (multi-AUVs) exploration. This paper focuses on an effective strategy for multi-AUV target search in the 3-D underwater environments with obstacles...
Environment Humans Computer Systems Imaging, Three-Dimensional Neural Networks, Computer Algorithms
View on PubMed DOI

RBoost: Label Noise-Robust Boosting Algorithm Based on a Nonconvex Loss Function and the Numerically Stable Base Learners.

IEEE transactions on neural networks and learning systems Sep 22, 2015
AdaBoost has attracted much attention in the machine learning community because of its excellent performance in combining weak classifiers into strong classifiers. However, AdaBoost tends to overfit to the noisy data in many applications. Accordingly...
Noise Machine Learning Neural Networks, Computer Algorithms
View on PubMed DOI

Multiple Representations-Based Face Sketch-Photo Synthesis.

IEEE transactions on neural networks and learning systems Sep 7, 2015
Face sketch-photo synthesis plays an important role in law enforcement and digital entertainment. Most of the existing methods only use pixel intensities as the feature. Since face images can be described using features from multiple aspects, this pa...
Algorithms Humans Face Databases, Factual Pattern Recognition, Automated Neural Networks, Computer
View on PubMed DOI

A Unified Approach to Adaptive Neural Control for Nonlinear Discrete-Time Systems With Nonlinear Dead-Zone Input.

IEEE transactions on neural networks and learning systems Sep 3, 2015
In this paper, an effective adaptive control approach is constructed to stabilize a class of nonlinear discrete-time systems, which contain unknown functions, unknown dead-zone input, and unknown control direction. Different from linear dead zone, th...
Computer Simulation Time Factors Nonlinear Dynamics Neural Networks, Computer Algorithms Humans
View on PubMed DOI

Classifying Stress From Heart Rate Variability Using Salivary Biomarkers as Reference.

IEEE transactions on neural networks and learning systems Sep 1, 2015
An accurate and noninvasive stress assessment from human physiology is a strenuous task. In this paper, a pattern recognition system to learn complex correlates between heart rate variability (HRV) features and salivary stress biomarkers is proposed....
Neural Networks, Computer Biomarkers Humans Heart Rate Hydrocortisone Saliva Exercise Test
View on PubMed DOI

Robust Integral of Neural Network and Error Sign Control of MIMO Nonlinear Systems.

IEEE transactions on neural networks and learning systems Sep 1, 2015
This paper presents a novel state-feedback control scheme for the tracking control of a class of multi-input multioutput continuous-time nonlinear systems with unknown dynamics and bounded disturbances. First, the control law consisting of the robust...
Computer Simulation Feedback Neural Networks, Computer Algorithms Nonlinear Dynamics Humans
View on PubMed DOI

A Multiobjective Sparse Feature Learning Model for Deep Neural Networks.

IEEE transactions on neural networks and learning systems Aug 31, 2015
Hierarchical deep neural networks are currently popular learning models for imitating the hierarchical architecture of human brain. Single-layer feature extractors are the bricks to build deep networks. Sparse feature learning models are popular mode...
Computer Simulation Learning Humans Models, Theoretical Algorithms Neural Networks, Computer Artificial Intelligence
View on PubMed DOI

Neural-Dynamic-Method-Based Dual-Arm CMG Scheme With Time-Varying Constraints Applied to Humanoid Robots.

IEEE transactions on neural networks and learning systems Aug 31, 2015
We propose a dual-arm cyclic-motion-generation (DACMG) scheme by a neural-dynamic method, which can remedy the joint-angle-drift phenomenon of a humanoid robot. In particular, according to a neural-dynamic design method, first, a cyclic-motion perfor...
Arm Nonlinear Dynamics Robotics Motion Time Factors Neural Networks, Computer Computer Simulation Humans
View on PubMed DOI

A Neurodynamic Approach for Real-Time Scheduling via Maximizing Piecewise Linear Utility.

IEEE transactions on neural networks and learning systems Aug 28, 2015
In this paper, we study a set of real-time scheduling problems whose objectives can be expressed as piecewise linear utility functions. This model has very wide applications in scheduling-related problems, such as mixed criticality, response time min...
Computer Systems Humans Linear Models Neural Networks, Computer
View on PubMed DOI
Popular Topics
Popular Journals