Abstract: A chip discharge conveyor system includes a partition plate disposed below a discharge run of a circulating endless hinged belt in confronted relation to the discharge belt run along the length thereof. Outer cleats are attached to an outer circumferential surface of the hinged belt, and inner cleats are attached to an inner circumferential surface of the hinged belt. At a conveyor tail end where the hinged belt makes an upward turn, small chips, which have been caught on a return run of the hinged belt, are transferred to the partition plate while they are held by and between a cylindrical member and the hinged belt. The small chips are subsequently conveyed along the partition plate and finally discharged outside a used coolant treatment tank.

Abstract: A chip discharge conveyor system includes a partition plate disposed below a discharge run of a circulating endless hinged belt in confronted relation to the discharge belt run along the length thereof. Outer cleats are attached to an outer circumferential surface of the hinged belt, and inner cleats are attached to an inner circumferential surface of the hinged belt. At a conveyor tail end where the hinged belt makes an upward turn, small chips, which have been caught on a return run of the hinged belt, are transferred to the partition plate while they are held by and between a cylindrical member and the hinged belt. The small chips are subsequently conveyed along the partition plate and finally discharged outside a used coolant treatment tank.

Abstract: The present invention relates to a data processing system in a hierarchical network configuration for executing applicable data processes in a comprehensible and executable form. An object of the present invention is to allow data processing capabilities to be established with high precision in a short time based on a fuzzy-neuro-integrated concept. A fuzzy model is generated by a data processing system in the form of membership functions and fuzzy rules as technical information relating to a control target. According to this fuzzy model, a weight value of the connection between neurons is set and a pre-wired neural network is established. Then, the data of the control target are learned by the neural network. The connection state and a weight value of the neural network after the learning enable tuning of the fuzzy model.

Abstract: The present invention relates to a data processing system in a hierarchical network configuration for executing applicable data processes in a comprehensible and executable form. The present invention allows data processing capabilities to be established with high precision in a short time based on a fuzzy-neuro-integrated concept. A fuzzy model is generated by a data processing system in the form of membership functions and fuzzy rules as technical information relating to a control target. According to this fuzzy model, a weight value of the connection between neurons is set and a pre-wired neural network is established. Then, the data of the control target are learned by the neural network. The connection state and a weight value of the neural network after the learning enable tuning of the fuzzy model.