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相关概念视频

What is Evolutionary History?02:35

What is Evolutionary History?

43.7K
Scientists record evolutionary history by analyzing fossil, morphological, and genetic data. The fossil record documents the history of life on Earth and provides evidence for evolution. However, both fossil and living organisms offer evidence that outlines Earth’s evolutionary history.
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Evolutionary Psychology01:20

Evolutionary Psychology

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Evolutionary psychology explores the origins of human behavior and mental processes by framing them within the context of natural selection, a theory famously propounded by Charles Darwin. This field asserts that many behaviors common across human societies — ranging from instinctive fear reactions to complex social interactions — arose as evolutionary adaptations. These adaptations enhanced the survival and reproductive success of our ancestors, thereby becoming embedded in the...
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Uniform Distribution01:19

Uniform Distribution

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The uniform distribution is a continuous probability distribution of events with an equal probability of occurrence. This distribution is rectangular.
Two essential properties of this distribution are
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Criticisms of the Evolutionary Perspective01:23

Criticisms of the Evolutionary Perspective

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In a study where individuals posing as strangers offered compliments and proposed casual sex to students, the responses differed significantly based on gender. Not a single woman accepted the proposal, while 70% of the men agreed. This outcome provides a useful scenario to explore through the lens of evolutionary psychology and social learning theory, highlighting the diverse perspectives on human sexual behaviors.
Evolutionary psychology provides one explanation for these findings, suggesting...
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Uniform Circular Motion01:14

Uniform Circular Motion

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Uniform circular motion is a specific type of motion in which an object travels in a circle with a constant speed. For example, any point on a propeller spinning at a constant rate is undergoing uniform circular motion. The second, minute, and hour hands of a watch also undergo uniform circular motion. It is hard to believe that points on these rotating objects are actually accelerating, even though the rotation rate is constant. To understand this, we must analyze the motion in terms of...
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Non-uniform Circular Motion01:22

Non-uniform Circular Motion

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In uniform circular motion, the particle executing circular motion has a constant speed, and the circle is at a fixed radius. However, not all circular motion occurs at a constant speed. A particle can travel in a circle and speed up or slow down, showing an acceleration in the direction of motion. In that case, the motion is called non-uniform circular motion, and an additional acceleration is introduced, which is in the direction tangential to the circle. 
For example, such...
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Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
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一个基于双种群的多目标进化算法,以统一的样本为神经架构搜索神经架构.

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    此摘要是机器生成的。

    本研究介绍了MOEA-BUS,这是一个用于神经架构搜索 (NAS) 的新算法,可以优化准确性和网络复杂性. 它增强了人口多样性和搜索空间覆盖范围,以获得卓越的性能.

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    科学领域:

    • 人工智能的人工智能
    • 机器学习 机器学习
    • 计算机科学 计算机科学

    背景情况:

    • 神经架构搜索 (NAS) 自动化了神经网络设计,但在优化诸如精度和复杂性等多个目标方面面临挑战.
    • 现有的NAS方法往往缺乏人口多样性和足够的搜索空间探索,特别是在复杂的地区.

    研究的目的:

    • 为NAS提出一种新的多目标进化算法 (MOEA-BUS),同时优化神经网络的准确性和复杂性.
    • 通过改善人口多样性和搜索空间覆盖率来提高NAS的效率和有效性.

    主要方法:

    • 开发了MOEA-BUS,这是一个多目标进化算法,利用双种群框架和一种新的统一采样方法来初始化人口.
    • 实施两个群体之间的协同进化,以确保全面的搜索空间覆盖.
    • 在CIFAR-10和ImageNet数据集上进行实验以评估性能.

    主要成果:

    • MOEA-BUS在CIFAR-10上实现了最高准确度的98.39%,在ImageNet上达到80.03%.
    • 在ImageNet上实现了78.28%的准确性,网络复杂度低,为446M MAdds.
    • 废除研究证实,统一的抽样和双种群机制显著改善了人口多样性和整体表现.

    结论:

    • MOEA-BUS有效地优化了NAS中的精度和网络复杂性,优于现有的方法.
    • 拟议的统一抽样和双种群策略对于提高NAS的多样性和性能至关重要.
    • 该算法显示了设计高效和高性能神经网络的巨大潜力.