Learning vector quantizationPattern classificationPattern encodingSelf-organizationIn an attempt to reduce the computational time and the size of the network, and simultaneously improve accuracy in recognition, Kohonen's learning vector quantization (LVQ) algorithm is used to train the ANN. To further ...
In this paper,the principle of ANN classifier is introduced firstly,and then learning vector quantization(LVQ)of ANN is used in the speaker identification experiment with the assistance of Matlab,which satisfying results are obtained eventually. 本文在介绍人工神经网络实现对输入向量分类原理的基础上,通...
CNN取得了显着进步,尤其是在视觉相关任务方面,因此重新唤起了科学家对ANN的兴趣。在这种情况下,已经进行了多项研究工作,以改善CNN在视觉相关任务上的表现。CNN的进步可以通过不同的方式进行分类,包括激活函数、损失函数、优化、正则化、学习算法以及处理单元的重组。本文特别根据处理单元的设计模式回顾了CNN体系结构的进...
These algorithms are based on the use of artificial neural networks (ANN) and are used to solve both classification and regression problems. Artificial neural networks are data structures comprising of multiple layers, which include an input layer, an output layer, and one or several hidden layers...
3)Unsupervised learning ANN无监督学习神经网络 4)unsupervised LVQ无监督学习矢量量化 1.This paper presents a generalized formulation ofunsupervised LVQ,and transfers classicalunsupervised LVQalgorithm into learning vector quantization which is based on typically scaling function,its formulation is very convenient...
This is a series of math courses for engineers from HKUST. This one is the fourth course (algebra, differential equation, vector calculus being the first three) of the specialization. Notes for the …
Most ANN applications in CCPR have been using static supervised ANNs, such as back propagation networks (BPNs) and learning vector quantization (LVQ) networks. The false recognition problem (i.e. the patterns are misclassified) commonly encountered for these ANN-based CCPR models is mainly due ...
get the seafloor type identification maps.We primarily study on the seafloor classification using learning vector quantization(LVQ) neural network method.Using this classification method,we can rapidly identify all kinds of seafloor types,such as sand,gravel and rock in the experimental surveying areas....
LVQLearning Vector Quantization MADEMasked Autoencoder for Distribution Estimation MAEMean Absolute ErrorAverage of the absolute error between the actual and predicted values MAFMasked Autoregressive Flows MAPMaximum A Posteriori (MAP) Estimation MAPEMean Absolute Prediction ErrorPercentage of the error between...
Multiparameter sensing such as vector magnetometry often involves complex setups due to various external fields needed in explicitly connecting one measured signal to one parameter. Here, we propose a paradigm of indirect encoding for vector atomic magne