查詢結果分析
來源資料
頁籤選單縮合
題名 | 交通部電信研究所在類神經網路方面的研究概述= |
---|---|
作者 | 周義昌; 蔡樹川; |
期刊 | 電信研究 |
出版日期 | 19920600 |
卷期 | 22:3 1992.06[民81.06] |
頁次 | 頁277-280 |
分類號 | 312.2 |
語文 | chi |
關鍵詞 | 交通部; 研究; 電信; 類神經網路; |
中文摘要 | 神經網路是由上億個神經元,以每個神經元和幾千個神經元以神經鍵相連接所交織成的網路;如此之網路即掌管了人類思考、學習及一切智慧行為,但由於其組織結構複雜,所以自古以來即是所有科學研究者待以解析之神祕;近年來,由於電腦在辨認學習等能力不足,因此引起眾多學者重拾神經網路之觀念,引起了類神經網路研究勢潮。 本所在研究熱潮中,也希望藉此研究以突破圓形及語音辨識之發展;而此專集共收集九篇論文,用以說明近幾年本所研究之成果。 |
英文摘要 | Neural network is a network composed by over one billion neurons with each neuron connecting with several neurons by synapses. Such a network manages the intelligent action such as thinking, learning, etc. and, researchers have pursued to understand the subtle of the neural network many years. But, until now, the subtle can not be solved due to the complex architecture. In addition, the performance of computer in recognition and learning ability can not be satisfied the requirement of human. As a result, neural network is a hot studying subject for solving the difficulty of computer. Researchers of Telecommunication Laboratories (TL) are also expected by studying the human-like technique to improve the performance of image and speech recognition. In the following, we collect eight papers for illustrating the progress of neural network study in TL. |
本系統之摘要資訊系依該期刊論文摘要之資訊為主。