|
Volumn 32, Issue 6, 2009, Pages 781-790
|
Improving neural network prediction of effluent from biological wastewater treatment plant of industrial park using fuzzy learning approach
|
Author keywords
Adaptive network based fuzzy inference system; Artificial neural network; Biological wastewater treatment plant; Conventional activated sludge process; Industrial park
|
Indexed keywords
ADAPTIVE NETWORK-BASED FUZZY INFERENCE SYSTEM;
ARTIFICIAL NEURAL NETWORK;
BIOLOGICAL WASTEWATER TREATMENT PLANT;
CONVENTIONAL ACTIVATED SLUDGE PROCESS;
INDUSTRIAL PARK;
ACTIVATED SLUDGE PROCESS;
BACKPROPAGATION;
BIOACTIVITY;
BIOLOGICAL WATER TREATMENT;
BLOCK CODES;
CHEMICAL OXYGEN DEMAND;
EFFLUENT TREATMENT;
EFFLUENTS;
ERRORS;
FUZZY INFERENCE;
FUZZY SYSTEMS;
INDUSTRIAL WATER TREATMENT;
INTELLIGENT CONTROL;
MEAN SQUARE ERROR;
NEURAL NETWORKS;
OXYGEN;
PARKS;
SEWAGE PUMPING PLANTS;
WASTEWATER;
WASTEWATER RECLAMATION;
WATER RECYCLING;
WATER TREATMENT PLANTS;
WASTEWATER TREATMENT;
INDUSTRIAL EFFLUENT;
ADAPTIVE NETWORK BASED FUZZY INFERENCE SYSTEM;
ANALYTICAL ERROR;
ARTICLE;
ARTIFICIAL NEURAL NETWORK;
CHEMICAL OXYGEN DEMAND;
CHEMICAL PARAMETERS;
CONTROLLED STUDY;
FUZZY SYSTEM;
INDUSTRIAL AREA;
MODEL;
ONLINE MONITORING;
PH;
PRIORITY JOURNAL;
SIMULATION;
SUSPENDED PARTICULATE MATTER;
WASTE WATER TREATMENT PLANT;
WATER QUALITY;
FUZZY LOGIC;
HYDROGEN-ION CONCENTRATION;
INDUSTRIAL WASTE;
MEDICAL WASTE DISPOSAL;
NEURAL NETWORKS (COMPUTER);
ONLINE SYSTEMS;
OXYGEN;
TAIWAN;
WASTE DISPOSAL, FLUID;
|
EID: 69249219254
PISSN: 16157591
EISSN: None
Source Type: Journal
DOI: 10.1007/s00449-009-0304-2 Document Type: Article |
Times cited : (31)
|
References (24)
|