训练径向基函数网络的量子加速

IF 0.7 4区物理与天体物理 Q3 COMPUTER SCIENCE, THEORY & METHODS

Quantum Information & Computation Pub Date : 2019-06-01 DOI:10.5555/3370207.3370213

ShaoChangpeng

引用次数: 1

摘要

径向基函数(RBF)网络是一种简单而实用的神经网络模型，在机器学习中有着广泛的应用。RBF网络的训练简化为求解一个线性系统。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Quantum Information & Computation 物理-计算机：理论方法

CiteScore

1.70

自引率

0.00%

发文量

审稿时长

3.3 months

期刊介绍： Quantum Information & Computation provides a forum for distribution of information in all areas of quantum information processing. Original articles, survey articles, reviews, tutorials, perspectives, and correspondences are all welcome. Computer science, physics and mathematics are covered. Both theory and experiments are included. Illustrative subjects include quantum algorithms, quantum information theory, quantum complexity theory, quantum cryptology, quantum communication and measurements, proposals and experiments on the implementation of quantum computation, communications, and entanglement in all areas of science including ion traps, cavity QED, photons, nuclear magnetic resonance, and solid-state proposals.