NEURAL NETWORKS FOR AUTOMATED VEHICLE DISPATCHING

被引：16

作者：

POTVIN, JY ^{[1
]}

SHEN, Y ^{[1
]}

ROUSSEAU, JM ^{[1
]}

机构：

[1] UNIV MONTREAL,DEPT COMP SCI & OPERAT RES,MONTREAL H3C 3J7,QUEBEC,CANADA

来源：

COMPUTERS & OPERATIONS RESEARCH | 1992年 / 19卷 / 3-4期

关键词：

Scheduling;

D O I：

10.1016/0305-0548(92)90048-A

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Decision making with respect to the dispatching of vehicles and crews is still mainly in the realm of human expertise. From our own experience, it seems very difficult to explicitly model that expertise via a symbolic approach. In this paper, we thus propose an alternative neural network model as a sub-symbolic and empirical alternative for modeling the decision process of expert dispatchers. Preliminary results about the ability of the network to reproduce various decision rules are reported.

引用

页码：267 / 276

页数：10

共 8 条

[1]

[Anonymous], 1987, LEARNING INTERNAL RE

[2] PATTERN-RECOGNIZING STOCHASTIC LEARNING AUTOMATA [J].

BARTO, AG ;

ANANDAN, P .

IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS, 1985, 15 (03) :360-375

[3]

BODIN L, 1983, COMPUT OPER RES, V10, P63, DOI 10.1016/0305-0548(83)90030-8

[4]

JONES WP, 1987, BYTE MAG OCT, P155

[5]

PSARAFTIS H, 1980, TRANSPORT SCI, V2, P130

[6]

ROUSSEAU JM, 1988, 564 U MONTR PUBL CTR

[7]

Rumelhart DE, 1986, ENCY DATABASE SYST, P45

[8]

WILSON N, 1977, CTS7722 CTR TRANSP S

← 1 →