基于CaffeNet模型的预测用水量,结合开发的基于学生心理的优化器
Lixia Liu1, Xiaochuan Guo2, Zhifei Zhang3
1School of International Education, Guangzhou College of Technology and Business, Guangzhou, Guangdong 510850, China.
概括
这项研究引入了一种用于预测水需求的新型深度学习模型,在国内,工业和农业部门实现高精度. 先进的CaffeNet-DSPBO模型为可持续的水资源管理提供了高效和可靠的预测.
科学领域:
- 环境科学 环境科学
- 人工智能的人工智能
- 水资源管理 水资源管理
背景情况:
- 准确的水需求预测对于有效的资源分配至关重要.
- 现有的模型难以捕捉影响水消耗的复杂非线性因素.
- 长江三角洲因需求波动而面临水资源管理方面的挑战.
研究的目的:
- 开发一个先进的水需求预测模型.
- 将深度学习 (CaffeNet) 与一个新的优化器 (DSPBO) 集成.
- 提高对家庭,工业和农业用水的预测准确度.
主要方法:
- 使用了CaffeNet的深度学习架构.
- 开发并集成了一个基于学生心理学的优化器 (DSPBO).
- 在中国长江三角洲使用现实数据进行了模型的训练和验证.
主要成果:
- 实现了较低的RMSE值:0.25 (国内),0.40 (工业),0.58 (农业).
- 获得的高相关系数:0.87 (国内),0.75 (工业),0.62 (农业).
- 在稳定性和准确性方面表现优于其他元启发算法,具有快速训练 (<1小时) 和推理 (<10毫秒).
结论:
- 咖啡网-DSPBO模型为多部门的水需求预测提供了一种可靠和准确的方法.
- 将深度学习与先进的优化技术相结合,可以提高预测能力.
- 这些发现支持可持续和高效的水资源管理战略.
相关概念视频
Design Example: Analyzing Capacity Contours for Flood Risk Assessment
272
Flood risk assessment involves careful planning and analysis to ensure the safety of communities near water retention structures. Capacity contours are a vital tool in this process, as they illustrate the potential spread of water at specific levels in a given area. In the context of building a bund across a small valley, these contours play a critical role in evaluating the safety of nearby residential areas.In this example, the bund is intended to store stormwater in the valley. The engineers...
272
Multiple Regression
3.7K
Multiple regression assesses a linear relationship between one response or dependent variable and two or more independent variables. It has many practical applications.
Farmers can use multiple regression to determine the crop yield based on more than one factor, such as water availability, fertilizer, soil properties, etc. Here, the crop yield is the response or dependent variable as it depends on the other independent variables. The analysis requires the construction of a scatter plot...
Farmers can use multiple regression to determine the crop yield based on more than one factor, such as water availability, fertilizer, soil properties, etc. Here, the crop yield is the response or dependent variable as it depends on the other independent variables. The analysis requires the construction of a scatter plot...
3.7K
Design Example: Creating a Hydraulic Model of a Dam Spillway
653
Scaled hydraulic models of dam spillways provide a practical way to replicate and study the intricate flow dynamics of these structures. Often built to a 1:15 ratio, these models allow for observing critical water behavior, such as velocity distribution, flow patterns, and energy dissipation.
653
Typical Model Studies
610
Fluid mechanics model studies often utilize scaled-down systems to predict fluid behavior in full-scale environments, such as river flows, dam spillways, and structures interacting with open surfaces. Maintaining Froude number similarity in river models is crucial, as it replicates surface flow features like wave patterns and velocities.
610
Design Example: Design of an Irrigation Channel
747
Trapezoidal channels are widely used in irrigation systems due to their cost-effectiveness and efficiency in conveying water. Trapezoidal channels feature a flat bottom and sloping sides, making them stable and easier to construct compared to other shapes. The bottom width and side slope ratio are determined based on the required flow capacity and site conditions. The side slope is kept gentle for unlined channels to prevent soil erosion.Hydraulic parameters in channel design include the flow...
747
Regulation of Water Output
2.0K
The human body predominantly expels water through the urinary system. On average, an individual generates around 1.5 liters of urine each day. This amount can fluctuate based on how well a person is hydrated, but a critical minimum quantity of urine must be produced to ensure the body's proper functioning. Daily, the kidneys remove 600 to 1200 milliosmoles of dissolved substances, effectively excreting excess minerals and water-soluble toxins such as creatinine, urea, and uric acid from the...
2.0K

