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Latticed network circuits considered herein have a structure in which one end of the current source arranged in a line is connected with a neighboring current source via register lines and the other end is grounded. It is shown that a latticed network circuit with nonuniform register distribution gives a solution to the Dirichlet\u2010type boundary value problem of a Poisson equation discretized by unequal spacing as its node voltage. From this and the aquation corresponding to Green's Theorem, an equation is derived to obtain a linear sum for input current distribution as the difference of boundary current. Based on this equation, a latticed network for computing linear mapping is constructed. Next, a procedure is obtained for learning an optimal linear associative mapping by altering the delta rule. Finally, comparison is made with the existing circuit for computing linear associative mapping.<\/jats:p>","DOI":"10.1002\/scj.4690220207","type":"journal-article","created":{"date-parts":[[2007,7,7]],"date-time":"2007-07-07T20:30:16Z","timestamp":1183840216000},"page":"56-65","source":"Crossref","is-referenced-by-count":0,"title":["Learning of linear associative mapping by latticed network circuits"],"prefix":"10.1002","volume":"22","author":[{"given":"Akio","family":"Utsugi","sequence":"first","affiliation":[]},{"given":"Masatoshi","family":"Ishikawa","sequence":"additional","affiliation":[]}],"member":"311","published-online":{"date-parts":[[2007,3,21]]},"reference":[{"key":"e_1_2_1_2_2","volume-title":"Vision","author":"Marr D.","year":"1982"},{"key":"e_1_2_1_3_2","volume-title":"Self\u2010Organization and Associative Memory (Second edition)","author":"Kohonen T.","year":"1987"},{"key":"e_1_2_1_4_2","first-page":"97","volume-title":"A statistical theory of adaptation. 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