一般化学習ネットワークの高次微分の計算理論

DOI Web Site Web Site 被引用文献14件 参考文献8件

書誌事項

タイトル別名
  • Higher Order Derivatives Calculation Method of Universal Learning Network
  • イッパンカ ガクシュウ ネットワーク ノ コウジ ビブン ノ ケイサン リロン

この論文をさがす

抄録

In this paper, calculation method of higer order derivatives of Universal Learning Network (U.L.N.) which can be used as a fundamental tool to model and control large-scale complicated systems such as economic, social, and living systems as well as industrial plants is proposed. U.L.N. has an ability of learning and can optimize even the broad range systems which are difficult to be expressed as first order difference equations with one sampling time delay, First derivatives calculation method of U.L.N. has been already proposed and these have been clarified to be effective to system optimization, In this paper, extending first order theory, nth order derivatives calculation theory is presented and as an example of applying higer order derivatives to system control, a new technique is introduced to control chaotic status of U.L.N. using Hessian Matrix.

収録刊行物

被引用文献 (14)*注記

もっと見る

参考文献 (8)*注記

もっと見る

キーワード

詳細情報 詳細情報について

問題の指摘

ページトップへ