AIMC Journal:
IEEE transactions on neural networks and learning systems

Showing 761 to 770 of 817 articles

Is extreme learning machine feasible? A theoretical assessment (part I).

IEEE transactions on neural networks and learning systems Jul 21, 2014
An extreme learning machine (ELM) is a feedforward neural network (FNN) like learning system whose connections with output neurons are adjustable, while the connections with and within hidden neurons are randomly fixed. Numerous applications have dem...
Computer Simulation Learning Neurons Generalization, Psychological Artificial Intelligence Algorithms Models, Neurological Nerve Net Humans Neural Networks, Computer
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Optimization of a multilayer neural network by using minimal redundancy maximal relevance-partial mutual information clustering with least square regression.

IEEE transactions on neural networks and learning systems Jul 17, 2014
In this paper, an optimized multilayer feed-forward network (MLFN) is developed to construct a soft sensor for controlling naphtha dry point. To overcome the two main flaws in the structure and weight of MLFNs, which are trained by a back-propagation...
Algorithms Computer Simulation Cluster Analysis Neural Networks, Computer Artificial Intelligence Least-Squares Analysis
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A two-layer recurrent neural network for nonsmooth convex optimization problems.

IEEE transactions on neural networks and learning systems Jul 15, 2014
In this paper, a two-layer recurrent neural network is proposed to solve the nonsmooth convex optimization problem subject to convex inequality and linear equality constraints. Compared with existing neural network models, the proposed neural network...
Algorithms Computer Simulation Nonlinear Dynamics Neural Networks, Computer
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Adaptive neural control of nonlinear MIMO systems with time-varying output constraints.

IEEE transactions on neural networks and learning systems Jul 15, 2014
In this paper, adaptive neural control is investigated for a class of unknown multiple-input multiple-output nonlinear systems with time-varying asymmetric output constraints. To ensure constraint satisfaction, we employ a system transformation techn...
Online Systems Humans Adaptation, Physiological Signal Processing, Computer-Assisted Neural Networks, Computer Nonlinear Dynamics Time Factors Models, Theoretical
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Learning to track multiple targets.

IEEE transactions on neural networks and learning systems Jul 14, 2014
Monocular multiple-object tracking is a fundamental yet under-addressed computer vision problem. In this paper, we propose a novel learning framework for tracking multiple objects by detection. First, instead of heuristically defining a tracking algo...
Neural Networks, Computer Photic Stimulation Algorithms Markov Chains Humans Online Systems Signal Detection, Psychological Mental Recall Video Recording Learning Models, Theoretical Pattern Recognition, Automated
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Robust sensorimotor representation to physical interaction changes in humanoid motion learning.

IEEE transactions on neural networks and learning systems Jul 10, 2014
This paper proposes a learning from demonstration system based on a motion feature, called phase transfer sequence. The system aims to synthesize the knowledge on humanoid whole body motions learned during teacher-supported interactions, and apply th...
Symbolism Transfer, Psychology Walking Motion Knowledge Motor Activity Functional Laterality Time Factors Robotics Computer Simulation Learning Humans
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Kernel association for classification and prediction: a survey.

IEEE transactions on neural networks and learning systems Jul 10, 2014
Kernel association (KA) in statistical pattern recognition used for classification and prediction have recently emerged in a machine learning and signal processing context. This survey outlines the latest trends and innovations of a kernel framework ...
Artificial Intelligence Pattern Recognition, Automated Models, Statistical Humans Algorithms Signal Processing, Computer-Assisted
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Transfer learning for visual categorization: a survey.

IEEE transactions on neural networks and learning systems Jul 1, 2014
Regular machine learning and data mining techniques study the training data for future inferences under a major assumption that the future data are within the same feature space or have the same distribution as the training data. However, due to the ...
Humans Neural Networks, Computer Machine Learning Models, Theoretical Knowledge Transfer, Psychology Visual Perception Algorithms Surveys and Questionnaires
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Evolutionary fuzzy ARTMAP neural networks for classification of semiconductor defects.

IEEE transactions on neural networks and learning systems Jul 1, 2014
Wafer defect detection using an intelligent system is an approach of quality improvement in semiconductor manufacturing that aims to enhance its process stability, increase production capacity, and improve yields. Occasionally, only few records that ...
Algorithms Neural Networks, Computer Databases, Factual Artificial Intelligence Semiconductors Fuzzy Logic Humans Pattern Recognition, Automated
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TraNCE: Transformative Nonlinear Concept Explainer for CNNs.

IEEE transactions on neural networks and learning systems Jun 1, 2025
Convolutional neural networks (CNNs) have succeeded remarkably in various computer vision tasks. However, they are not intrinsically explainable. While feature-level understanding of CNNs reveals where the models looked, concept-based explainability ...
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