AIMC Topic: Neural Networks, Computer

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A Neuromorphic CMOS Circuit With Self-Repairing Capability.

IEEE transactions on neural networks and learning systems
Neurophysiological observations confirm that the brain not only is able to detect the impaired synapses (in brain damage) but also it is relatively capable of repairing faulty synapses. It has been shown that retrograde signaling by astrocytes leads ...

Robust Facial Landmark Detection by Multiorder Multiconstraint Deep Networks.

IEEE transactions on neural networks and learning systems
Recently, heatmap regression has been widely explored in facial landmark detection and obtained remarkable performance. However, most of the existing heatmap regression-based facial landmark detection methods neglect to explore the high-order feature...

Memristive Circuit Implementation of a Self-Repairing Network Based on Biological Astrocytes in Robot Application.

IEEE transactions on neural networks and learning systems
A large number of studies have shown that astrocytes can be combined with the presynaptic terminals and postsynaptic spines of neurons to constitute a triple synapse via an endocannabinoid retrograde messenger to achieve a self-repair ability in the ...

Contrastive Adversarial Domain Adaptation Networks for Speaker Recognition.

IEEE transactions on neural networks and learning systems
Domain adaptation aims to reduce the mismatch between the source and target domains. A domain adversarial network (DAN) has been recently proposed to incorporate adversarial learning into deep neural networks to create a domain-invariant space. Howev...

Multi-Output Selective Ensemble Identification of Nonlinear and Nonstationary Industrial Processes.

IEEE transactions on neural networks and learning systems
A key characteristic of biological systems is the ability to update the memory by learning new knowledge and removing out-of-date knowledge so that intelligent decision can be made based on the relevant knowledge acquired in the memory. Inspired by t...

Construction of Game Model between Carbon Emission Minimization and Energy and Resource Economy Maximization Based on Deep Neural Network.

Computational intelligence and neuroscience
Under this background, this paper tries to find countermeasures and ways for carbon reduction by observing and analyzing the influencing factors of carbon emissions, designing ways to minimize carbon emissions and maximize resources and energy. In vi...

An Optimized BP Neural Network Model and Its Application in the Credit Evaluation of Venture Loans.

Computational intelligence and neuroscience
With the rapid development of entrepreneurship loans in China, the construction of a credit evaluation system of risk loans has become an important financial safeguard measure. This paper mainly studies the following three aspects. Firstly, in view o...

An Approach to Intelligent Fault Diagnosis of Cryocooler Using Time-Frequency Image and CNN.

Computational intelligence and neuroscience
Cryocooler plays an essential role in the field of infrared remote sensing. Linear compressor, as the power component of the cryocooler, will directly affect the normal operation and performance of the detector if there is a fault. Therefore, the int...

SinGAN-Seg: Synthetic training data generation for medical image segmentation.

PloS one
Analyzing medical data to find abnormalities is a time-consuming and costly task, particularly for rare abnormalities, requiring tremendous efforts from medical experts. Therefore, artificial intelligence has become a popular tool for the automatic p...

Inference of Brain States Under Anesthesia With Meta Learning Based Deep Learning Models.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Monitoring the depth of unconsciousness during anesthesia is beneficial in both clinical settings and neuroscience investigations to understand brain mechanisms. Electroencephalogram (EEG) has been used as an objective means of characterizing brain a...