| 具有内连接的指数多值双向联想记忆模型 |
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| 引用本文： | 陈松灿,刘 征.具有内连接的指数多值双向联想记忆模型[J].控制理论与应用,2002,19(1):65-67. |
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| 作者姓名： | 陈松灿 刘 征 |
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| 作者单位： | 南京航空航天大学 计算机科学及工程系, 南京 210016;南京航空航天大学 计算机科学及工程系, 南京 210016 |
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| 基金项目： | 国家自然科学基金(69701004); 教育部青年骨干教师资助计划资助项目 |
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| 摘 要： | C_CWang的多值指数双向联想记忆模型 (MVeBAM)是一种高存储容量的联想神经网络. 本文在MVe BAM的基础上通过引入自相关项 (或内连接 )提出了一个新的具有内连接的多值指数双向联想记忆模型, 推广了MVeBAM. 通过定义简单的能量函数证明了其在同、异步方式下的稳定性, 从而保证了所学模式对成为被推广的MVeBAM(EMVeBAM)的稳定点. 最后, 计算机模拟证实了EMVeBAM比MVeBAM具有更高的存储容量和更好的纠错性能.
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| 关 键 词： | (多值)双向联想记忆 指数 神经网络 稳定性 内连接 |
Exponential Bidirectional Associative Memory Model with Intraconnection |
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| CHEN Songcan and LIU Zheng.Exponential Bidirectional Associative Memory Model with Intraconnection[J].Control Theory & Applications,2002,19(1):65-67. |
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| Authors: | CHEN Songcan and LIU Zheng |
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| Affiliation: | Department of Computer Science and Engineering, Nanjing University of Aeronautics & Astronautics, Nanjing, 210016,P.R.China;Department of Computer Science and Engineering, Nanjing University of Aeronautics & Astronautics, Nanjing, 210016,P.R.China |
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| Abstract: | C_C Wang's multi_valued exponential bidirectional associative memory model (MVeBAM) is a neural network with higher storage capacity. In this paper, based on the MVeBAM, we propose a new multi_valued exponential bidirectional associative memory model with intraconnection (EMVeBAM) by adding an auto_correlation term (or an intraconnection) to the exponents, extending the MVeBAM. The stability of the proposed model is proven in synchronous and asynchronous update modes with a defined energy function, which ensures that the learnt patterns become stable points of the EMeBAM. Finally, the computer simulation results verify that the EMVeBAM has higher storage capacity and better error_correcting capability than those of MVeBAM. |
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| Keywords: | multi_valued) bidirectional associative memory exponent neural networks stability intraconnection |
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