Basic Consideration of Weigh-In-Motion using Control Theory

using game theory techniques in self-organizing maps training

شبکه خود سازمانده پرکاربردترین شبکه عصبی برای انجام خوشه بندی و کوانتیزه نمودن برداری است. از زمان معرفی این شبکه تاکنون، از این روش در مسائل مختلف در حوزه های گوناگون استفاده و توسعه ها و بهبودهای متعددی برای آن ارائه شده است. شبکه خودسازمانده از تعدادی سلول برای تخمین تابع توزیع الگوهای ورودی در فضای چندبعدی استفاده می کند. احتمال وجود سلول مرده مشکلی اساسی در الگوریتم شبکه خودسازمانده به حسا...

Bridge Damage Detection Using Weigh - In - Motion Technology

Development of a Weigh-Pad-Based Portable Weigh-In-Motion System

Learning to Weigh Basic Behaviors in Scalable gents

We are working on the use of Reinforcement Learning (RL)[3] algorithms to design automatically reactive situated agents limited to only local perceptions. Unfortunately, as good RL algorithms suffer from combinatorial explosion, their use is generally limited to simple problems. As shown on the tile-world example of figure 1, we propose to overcome these difficulties by making the hypothesis, a...

Field Verification of Smoothness Requirements for weigh-in-Motion approaches

The smoothness of the pavement surface approaching a Weigh-In-Motion (WIM) scale directly affects the device’s ability to accurately estimate static loads from measured dynamic forces. Lack of smoothness creates difficulties in obtaining an acceptable weighing error. Efforts were made in this study to determine appropriate threshold values of profile length and roughness approaching the WIM. Ro...