Name
Title | ||
|---|---|---|
Signal Analysis for Assessment and Prediction of the Artificial Habitat in Shrimp Aquaculture |
Abstract | ||
|---|---|---|
This paper presents a novel work for prediction of artificial habitat in shrimp aquaculture based on environmental signal analysis. The physical-chemical variables that are involved into the system are studied for modeling and predicting environmental patterns.The prediction model is built using AR models that reconstruct a partial section of a particular measured signal. The physical-chemical variables are classified based on the negative ecological impact using a new statistical model that calculates the frequency and the deviation of the measurements. A fuzzy inference system processes the level classifications using aquaculture rules that define all the cases calculating the condition of the shrimp habitat. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1007/978-3-642-10268-4_42 | CIARP |
Keywords | Field | DocType |
ar model,statistical model,prediction model,signal analysis | Data mining,Signal processing,Aquaculture,Habitat,Computer science,Artificial intelligence,Statistical model,Machine learning,Fuzzy inference system,Shrimp | Conference |
Volume | ISSN | Citations |
5856 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 1 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| José Juan Carbajal Hernández | 1 | 26 | 9.48 |
| Luis Pastor Sanchez Fernandez | 2 | 3 | 1.81 |
| José Luis Oropeza Rodríguez | 3 | 5 | 6.49 |
| Edgardo M. Felipe-Riverón | 4 | 52 | 12.61 |