Adaptive resonance associative map

Adaptive resonance associative map

Neural Networks

Saved in:

Bibliographic Details
Main Author:	Tan, A.-H.
Other Authors:	INSTITUTE OF SYSTEMS SCIENCE
Format:	Article
Published:	2014
Subjects:	Associative memory Heteroassociative recall Neural network architecture Self-organization Supervised learning
Online Access:	http://scholarbank.nus.edu.sg/handle/10635/111132
Tags:	Add Tag No Tags, Be the first to tag this record!
Institution:	National University of Singapore

Similar Items

Adaptive resonance associative map
by: TAN, Ah-hwee
Published: (1995)

Colour image segmentation using the self-organizing map and adaptive resonance theory
by: Yeo, N.C., et al.
Published: (2014)

Investigating the effects of prior recall on phonological false memories
by: MOHAMED SHAN-RIEVAN MOHAMED SALLEH
Published: (2014)

Effects of product learning aids on the breadth and depth of recall
by: Li, M., et al.
Published: (2013)

FREE RECALL AND RECOGNITION MEMORY ESTIMATES FOR 532 CONCRETE NOUNS
by: LAU BAO XIA MABEL
Published: (2015)

Incremental learning in terms of output attributes
by: Guan, S.-U., et al.
Published: (2014)

Self-organizing neural models integrating rules and reinforcement learning
by: TENG, Teck-Hou, et al.
Published: (2008)

Adaptive mating memory: Attractiveness and contextual effect on the remembering and misremembering of potential mates’ faces
by: TAY, Peter Kay Chai
Published: (2017)

Towards autonomous behavior learning of non-player characters in games
by: FENG, Shu, et al.
Published: (2016)

Adaptive computer‐generated forces for simulator‐based training, Expert Systems with Applications
by: TENG, Teck-Hou, et al.
Published: (2013)

GENDER DIFFERENCES IN FRIENDSHIP APP EXPERIENCE
by: FOO LIXIN
Published: (2022)

LEARNING AND MEMORY IN NEURAL NETWORKS
by: ZHANG XIAOYU
Published: (2017)

A mathematical analysis on the distribution-preserving property of Self-Organizing Map (SOM)
by: Llorin, Jason D.
Published: (1998)

MultiLearner based recursive supervised training
by: RAMANATHAN, Kiruthika, et al.
Published: (2006)

A self-organizing neural architecture integrating desire, intention and reinforcement learning
by: TAN, Ah-hwee, et al.
Published: (2010)

A hybrid agent architecture integrating desire, intention and reinforcement learning
by: TAN, Ah-hwee, et al.
Published: (2011)

TOWARD A RUNTIME PROGRAMMABLE SPIKING NEURAL NETWORK HARDWARE ACCELERATOR WITH ON-CHIP LEARNING
by: NGUYEN NGOC NHU THAO
Published: (2023)

Probabilistic guided exploration for reinforcement learning in self-organizing neural networks
by: Wang, Peng, et al.
Published: (2019)

Incremental learning with respect to new incoming input attributes
by: Guan, S.-U., et al.
Published: (2014)

Multi-learner based recursive supervised training
by: IYER, Laxmi R., et al.
Published: (2006)

Temporal Coding and Learning in Spiking Neural Networks
by: YU QIANG
Published: (2014)

p-Meta: Towards on-device deep model adaptation
by: QU, Zhongnan, et al.
Published: (2022)

An incremental approach to contribution - based feature selection
by: LIU JUN
Published: (2011)

ATTENTIVE RECURRENT NEURAL NETWORKS
by: LI MINGMING
Published: (2017)

Autonomic mobile sensor network with self-coordinated task allocation and execution
by: Low, K.H., et al.
Published: (2013)

Improved SOM labeling methodology for data mining applications
by: Azcarraga, A., et al.
Published: (2014)

A study of the effects of rhythmic association on short term memory
by: Hilario, Ma. Socorro, et al.
Published: (1987)

Hierarchical incremental class learning with output parallelism
by: Guan, S.-U., et al.
Published: (2013)

Self-organizing neural architectures and cooperative learning in a multiagent environment
by: XIAO, Dan, et al.
Published: (2007)

Probabilistic guided exploration for reinforcement learning in self-organizing neural networks
by: WANG, Peng, et al.
Published: (2018)

An item-level analysis of lexical-semantic effects in free recall and recognition memory using the megastudy approach
by: Lau, Mabel C, et al.
Published: (2019)

Chinese character classification using an adaptive resonance network
by: Gan, K.W., et al.
Published: (2014)

Effects of product learning aids on breadth and depth of recall: An empirical investigation
by: Li, M.-X., et al.
Published: (2013)

Identification of ischemic heart disease via machine learning analysis on magnetocardiograms
by: Tanawut Tantimongcolwat, et al.
Published: (2011)

Testing the myth of the encoding-retrieval match
by: Goh, W.D., et al.
Published: (2014)

Synthesis of annotated images as dataset for vehicle counting neural networks using semi-supervised learning
by: Chan, Patrick Matthew J.
Published: (2022)

Incremental neural network training with an increasing input dimension
by: Guan, S.-U., et al.
Published: (2014)

Test-enhanced learning for pairs and triplets: When and why does transfer occur?
by: Rickard, Timothy C, et al.
Published: (2022)

Leveraging imperfect restoration for data availability attack
by: Huang, Yi, et al.
Published: (2024)

Behavioral Economics of Crime Rates and Punishment Levels
by: Chiba, Saori, et al.
Published: (2016)