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題 名 | 類神經網路應用於水產養殖餵食辨識之研究=Study on Application of Neural Network to Feeding Recognition in an Aquaculture System |
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作 者 | 黃膺任; 吳德輝; 陳俊明; | 書刊名 | 嘉義技術學院學報 |
卷 期 | 58 1998.06[民87.06] |
頁 次 | 頁25-36 |
分類號 | 439.6 |
關鍵詞 | 類神經網路; 水產養殖; 辨識; Neural network; Aquaculture; Recognition; |
語 文 | 中文(Chinese) |
中文摘要 | 本研究的目的是建立一套智慧型的投餌餵食之辨識系統。實驗結果發現,在餵食 的過程,水中溶氧量有短暫持續上升的現象,因此,應用溶氧量於前80秒的變化率及四分鐘 內出現之最大變化量二個與魚群索餌行為相關的特徵參數,作為三層式倒傳遞類神經網路的 輸入因子,以建立一個投餌餵食的辨識系統。在訓練過程,藉由變更訓練樣本及隱藏層神經 元數目,以找出最佳的辨識模式。經測試結果,顯示利用神經網路建立的餵食模式,與實際 情形相當接近。 |
英文摘要 | The objective of this study is to develop an intelligent feeding recogni- tion system for aquaculture. The experimental results demonstrated that the value of the dissolved oxygen increased continuously and rapidly druing the feeding process, so that the change rate of dissolved oxygen in 80 seconds and the maximum change of dissolved oxygen in 4 minutes were applied to find the characteristic parameters that have relations with the bass's searching behaviors. A three-layer back-propagation artificial neural network was utilized to establish a feeding recognition system for aquaculture. The two characteristic factors were used as the input parameters of this neural network. In order to find the best model for recognition, the type and number of the training sample, the nodes of the hidden layer were changed during the training process. The tests show the feeding decision made by the neural network set approach is close to actural searching behaviors. |
本系統中英文摘要資訊取自各篇刊載內容。