Abstract: This paper describes the derivation and design of an array of self-organizing networks trained by inductive learning for one step ahead prediction ...
This paper presents some results on the design of an in- ductive predictor of the principal variables of the pre- precipitation stage of a wastewater treatment ...
Dec 5, 2024 · Selforganizing networks were designed for one step ahead prediction of the outputs of the preprecipitation stage of a wastewater treatment plant ...
Prediction of Wastewater Pre-Precipitation Variables Using Self-Organizing Networks · Isaias, P · Nilsson, S · Stathaki, A · King, R.
Prediction of Wastewater Pre-Precipitation Variables Using Self-Organizing Networks. ISIC 2005: 932-937. [+][–]. 1990 – 1999. FAQ. see FAQ. What is the meaning ...
Selforganizing networks were designed for one step ahead prediction of the outputs of the preprecipitation stage of a wastewater treatment plant in [5] . An ...
This paper presents a new approach, which is called genetic programming as a self-organising modelling tool, to model dynamic performance of municipal activated ...
Missing: Pre- Precipitation
Apr 18, 2022 · In this paper, self-organizing maps (SOM) were developed to simulate monthly inflows to a reservoir based on satellite-estimated gridded precipitation time ...
In this paper, the Kohonen Self-Organising Feature Maps (KSOFM) neural network is applied to analyse the multi-dimensional process data, and to diagnose the ...
Missing: Precipitation | Show results with:Precipitation
Jun 2, 2023 · This study applied a self-organizing map (SOM) to fill in missing values and replace outliers in wastewater treatment data from Kauma Sewage Treatment Plant in ...