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題 名 | 人工神經網路在紡織品手感評估中的應用研究=The Application of Artificial Neural Networks to Textiles in Handle Assessment |
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作 者 | 鍾玉慧; | 書刊名 | 紡織中心期刊 |
卷 期 | 8:3 1998.07[民87.07] |
頁 次 | 頁312-320 |
分類號 | 478.11 |
關鍵詞 | 人工神經網路; BP神經網路; 模式識別; 聯想記憶; 控制系統; 非線性系統控制; 建模; 智能控制; Artificial neural networks; BP neural networks; Pattern recognition; Associative memory; Control system; Non-linear system control; Modeling; Intelligent control; |
語 文 | 中文(Chinese) |
中文摘要 | 在非線性系統的控制中,神經網路已成為強而有力的工具,本文針對現有的手感評定方法,在識別準確性、容錯性和適應性方面等存在的問題,提出了用4個檢測模型產生手感信號,並用BP神經網路處理信號的具體方法和步驟,並同時探討了人工神經網路在建模和控制領域的研究概況,並對其發展趨勢作了展望。由實驗證明,BP神經網路具有較好的自己適應模式的識別能力和容錯性。 |
英文摘要 | As neural networks are the important tools for non-linear system control. This paper aimed at the problems in recognition accuracy, robustness and adaptability in traditional methods of handle assessment, four test models for handle analysis and the method using BP neural networks to process the handle signals were presented. An overview of the recent study on the applications of neural networks to the modeling and control field. Their tendency of development was discussed. The experimental data show that BP neural networks are capable of self-adaptive pattern recognition and strong robustness, being a powerful tool for fabric and leather handle assessment. |
本系統中英文摘要資訊取自各篇刊載內容。