Evolving Probabilistic Spiking Neural Networks for Spatio-temporal Pattern Recognition: A Preliminary Study on Moving Object Recognition

机译：时空模式识别的进化概率尖峰神经网络：运动目标识别的初步研究

获取原文

页面导航

摘要
著录项
相似文献
相关主题

摘要

This paper proposes a novel architecture for continuous spatio-temporal data modeling and pattern recognition utilizing evolving probabilistic spiking neural network 'reservoirs' (epSNNr). The paper demonstrates on a simple experimental data for moving object recognition that: (1) The epSNNr approach is more accurate and flexible than using standard SNN; (2) The use of probabilistic neuronal models is superior in several aspects when compared with the traditional deterministic SNN models, including a better performance on noisy data.

机译：本文提出了一种新颖的架构，该架构利用不断发展的概率峰值神经网络“存储库”（epSNNr）进行连续的时空数据建模和模式识别。本文通过简单的实验数据证明了运动目标的识别：（1）epSNNr方法比使用标准SNN更准确，更灵活; （2）与传统的确定性SNN模型相比，概率神经元模型在多个方面都具有优势，其中包括在噪声数据上的更好性能。

著录项

来源
《International conference on neural information processing;ICONIP 2011》|2011年|p.230-239|共10页
会议地点
作者
Nikola Kasabov; Kshitij Dhoble; Nuttapod Nuntalid; Ammar Mohemmed;
展开▼
作者单位

展开▼
会议组织
原文格式 PDF
正文语种
中图分类信息处理（信息加工）;
关键词
spatio-temporal patterns; spiking neural network; reservoir computing; liquid state machine;

机译：时空格局尖峰神经网络;储层计算;液态机;

相似文献

外文文献
中文文献
专利

1. From evolving artificial gene regulatory networks to evolving spiking neural networks for pattern recognition [J] . Ahmed Abdelmotaleb, Maria Schilstra, Neil Davey, BMC Neuroscience . 2013,第S1期

机译：从进化的人工基因调控网络到进化的尖峰神经网络以进行模式识别
2. From evolving artificial gene regulatory networks to evolving spiking neural networks for pattern recognition [J] . Ahmed Abdelmotaleb, Maria Schilstra, Neil Davey, BMC Neuroscience . 2013,第SUPPLEMENTa1期

机译：从进化的人工基因调控网络到进化的尖峰神经网络以进行模式识别
3. NeuroSense: Short-term emotion recognition and understanding based on spiking neural network modelling of spatio-temporal EEG patterns [J] . Tan Clarence, Sarlija Marko, Kasabov Nikola Neurocomputing . 2021,第Apra28期

机译：neuroSense：基于尖刺神经网络建模的短期情感认可和理解时空脑电图模式
4. Evolving Probabilistic Spiking Neural Networks for Spatio-temporal Pattern Recognition: A Preliminary Study on Moving Object Recognition [C] . Nikola Kasabov, Kshitij Dhoble, Nuttapod Nuntalid, International Confernec on Neural Information Processing . 2011

机译：不断发展的概率尖峰神经网络，用于时空模式识别：移动物体识别的初步研究
5. Pattern Recognition Using Spiking Neural Networks [D] . Talaei, Amir Javid. 2020

机译：使用尖刺神经网络的模式识别
6. From evolving artificial gene regulatory networks to evolving spiking neural networks for pattern recognition [O] . Ahmed Abdelmotaleb, Maria Schilstra, Neil Davey, 2013

机译：从进化的人工基因调控网络到进化的尖峰神经网络以进行模式识别
7. Evolving Probabilistic Spiking Neural Networks for Spatio-temporal Pattern Recognition: A Preliminary Study on Moving Object Recognition [O] . Nikola Kasabov, Kshitij Dhoble, Nuttapod Nuntalid, 2014

机译：用于时空模式识别的进化概率尖峰神经网络 - 运动目标识别的初步研究
8. Garbled Text String Recognition with a Spatio-Temporal Pattern Recognition NeuralNetwork (Verminkte Tekst String Herkenning met een Spatio-Temporeel Patroon Herkennings Neuraal Netwerk) [R] . Meiler, P. P. 1990

机译：带有时空模式识别的乱码文本字符串识别NeuralNetwork（Verminkte Tekst字符串Herkenning遇见了enen spatio-Temporeel patroon Herkennings Neuraal Netwerk）

Evolving Probabilistic Spiking Neural Networks for Spatio-temporal Pattern Recognition: A Preliminary Study on Moving Object Recognition

摘要

著录项

相似文献

相关主题

期刊订阅