Group management control device for elevator

Abstract

Abstract PURPOSE:To automatically attain the application to the field and reduce the maintenance cost by providing a means learning a neural net based on a learning sample satisfying preset conditions while an elevator is operated. CONSTITUTION:Various parameters indicating the states of a group at that time for a newly occurring hall call are inputted to an assigning neural net 8 as input parameter elements, and the optimum cage is selected based on the output. Input pattern elements and the cage selected for them are used as a learning sample, and a judging means 11 judges whether the learning sample satisfies the preset conditions or not. The learning sample satisfying the preset conditions is stored in a memory means 12, and the neural net (neuro- computer) 8 is learnt by a learning control means 13 based on the stored learning sample.

Inventors

• 👤 Shiyandoru Marukon
• 👤 マルコン・シャンドル

Bibliographic Details