Hitachi, Ltd.

Hitachi Engineering Co., Ltd.

Noboru Abe

Masakazu Yahiro

Haruki Inoue

Kenichi Nakamura

Yoshiyuki Satoh

Keiji Oshima

Hideo Yoshida

Hiroyuki Ichikawa

Yasuhiro Terada

Akemi Ohtsuki

Minoru Koide

A planning system for quickly forming the optimum plan for a given planning problem, includes a setting unit for accepting the given planning problem; an optimization unit for creating an objective function which expresses an item intended to be minimized or maximized in the planning problem, and for executing a process which minimizes or maximizes a value of the created objective function; a storage unit for storing therein, at least, constant values which are required for the optimizing process; and a display unit for displaying a processed result of the optimization unit. The optimization unit performs a first function of calculating a difference value between the values of the objective function assumed in a last formed plan and a newly formed plan, and performs a second function of comparing the difference value of the objective function with the constant value set in the storage unit, and then substituting the last formed plan by the newly formed plan and setting the latter as a candidate for an optimum plan, on condition that the difference value of the objective function is smaller than the constant value.

Planning method and system

A neural network system includes a qualitative evaluation section, a neural network section, a quantifying section and a display section. The qualitative evaluation section qualitatively analyzes an unknown data supplied thereto, and normalizes the result of analysis within a predetermined range. The neural network section having a neural network with plural neurons computes the network output data from the normalized unknown data produced by the qualitative evaluation section. Each neuron is connected to plural other neurons through synapses, each of which is assigned an individual weight coefficient. Each neuron is adapted to output an output function value assigned thereto associated with the total sum of the products of the output from the neurons connected thereto and the synapse weight coefficient. The quantifying section quantifies the network output data to produce desired data. The desired data thus produced is displayed on the display section.

Neural network system adapted for non-linear processing

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Hitachi, Japan

Noboru Abe