通过最佳添加隐藏节点来改进I-ELM结构:紧的I-ELM
Sunghyo Seo1, Jongkwon Jo1, Muhammad Hamza2
1Department of Information and Statistics, Gyeongsang National University, 501, Jinju-daero, Jinju-si, Gyeongsangnam-do, Republic of Korea.
Scientific reports
|October 1, 2024
概括
本研究介绍了一个紧的增量极端学习机器 (I-ELM) 算法. 它通过最初使用线性回归来减少不必要的隐藏节点,从而创建更有效的神经网络.
科学领域:
- 人工智能的人工智能
- 机器学习 机器学习
- 神经网络的神经网络的神经网络
背景情况:
- 渐进式极端学习机器 (I-ELM) 提供快速学习和自动结构确定.
- 一个关键的挑战是潜在的无关隐藏节点的添加,增加模型的复杂性.
- 现有的方法在与可能与目标输出无关的随机隐藏节点进行斗争.
研究的目的:
- 开发一种新的紧型I-ELM算法.
- 解决在I-ELM中添加不必要的隐藏节点的问题.
- 提高神经网络结构的效率和紧性.
主要方法:
- 拟议的算法从添加线性回归节点开始.
- 它结合了后续的方法,以确保隐藏节点之间的独特模式.
- 这与使用随机隐藏节点的传统I-ELM形成鲜明对比.
主要成果:
- 紧的I-ELM算法使用基准数据进行了评估.
- 该方法成功地构建了更紧的神经网络结构.
- 与现有的I-ELM系统相比,需要更少的隐藏节点.
结论:
- 拟议的紧I-ELM算法有效地减少了隐藏节点的数量.
- 这种方法导致了更高效和精简的神经网络架构.
- 它通过确保节点相关性,比传统的I-ELM方法提供了改进.
相关概念视频
Heuristics
80
Heuristics are problem-solving strategies that use mental shortcuts to simplify decision-making. Unlike algorithms, which must be followed precisely to achieve a correct result, heuristics offer a general problem-solving framework. They save time and energy but can sometimes lead to less rational decisions.
People often rely on heuristics when faced with an overload of information, limited time, low importance of the decision, limited information, or when a heuristic readily comes to mind. For...
People often rely on heuristics when faced with an overload of information, limited time, low importance of the decision, limited information, or when a heuristic readily comes to mind. For...
80
Survival Tree
63
Survival trees are a non-parametric method used in survival analysis to model the relationship between a set of covariates and the time until an event of interest occurs, often referred to as the "time-to-event" or "survival time." This method is particularly useful when dealing with censored data, where the event has not occurred for some individuals by the end of the study period, or when the exact time of the event is unknown.
Building a Survival Tree
Constructing a...
Building a Survival Tree
Constructing a...
63
Reducing Line Loss
149
In a three-phase circuit, line loss is an indicator of energy dissipated as heat due to the resistance of transmission lines. To address this, incorporating transformers into the system—a step-up transformer at the source and a step-down transformer at the load—is a strategic solution. Two three-phase transformers are introduced to improve this.
With a step-up transformer at the source, the voltage is increased, thereby reducing the current in the transmission lines since power loss...
With a step-up transformer at the source, the voltage is increased, thereby reducing the current in the transmission lines since power loss...
149
Phylogenetic Trees
45.2K
Phylogenetic trees come in many forms. It matters in which sequence the organisms are arranged from the bottom to the top of the tree, but the branches can rotate at their nodes without altering the information. The lines connecting individual nodes can be straight, angled, or even curved.
45.2K
Normal and Tangetial Components: Problem Solving
176
Consider a man with a mass of 70 kg seated in a chair connected to a pin support through a member BC. If the man maintains an upright position, the task is to determine the horizontal and vertical reactions of the chair on the man when the member makes a 45° angle with the horizontal. At this moment, the man has a speed of 5 m/s, increasing at a rate of 1 m/s².
176
One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation
411
This lesson introduces two critical methods in pharmacokinetics, the Wagner-Nelson and Loo-Riegelman methods, used for estimating the absorption rate constant (ka) for drugs administered via non-intravenous routes. The Wagner-Nelson method relates ka to the plasma concentration derived from the slope of a semilog percent unabsorbed time plot. However, it is limited to drugs with one-compartment kinetics and can be impacted by factors like gastrointestinal motility or enzymatic degradation.
On...
On...
411


