Abstract: An automatic train handling controller. In one embodiment, there is disclosed a system and method for tracking a velocity profile in a rail-based transportation system. A fuzzy logic controller is used to ensure that a train simulator complies to the velocity profile over a specified track profile while providing a smooth ride. A safety constraint enforcer is used to minimize sudden slack movements by ensuring that the control action provided by the fuzzy logic controller is kept in compliance with a set of predetermined safety constraints. In a second embodiment, there is an automatic train handling controller that smoothly manages the slack of the couplers while keeping the train within prescribed speed limits over a varying terrain.

Abstract: A method and system for automating a process for valuing a property that produces an estimated value of a subject property, and a reliability assessment of the estimated value. The process is a generative artificial intelligence method that trains a fuzzy-neural network using a subset of cases from a case-base, and produces a run-time system to provide an estimate of the subject property's value. A network-based implementation of fuzzy inference is based on a system that implements a fuzzy system as a five-layer neural network so that the structure of the network can be interpreted in terms of high-level rules. The neural network is trained automatically from data. IF/THEN rules are used to map inputs to outputs by a fuzzy logic inference system. Different models for the same problem can be obtained by changing the inputs to the neuro-fuzzy network, or by varying its architecture.

Abstract: The present invention is a method and system for automating the process for valuing a property that produces an estimated value of a subject property, and a quality assessment of the estimated value, that is based on the fusion of multiple processes for valuing a property. In one embodiment, three processes for valuing a subject property are fused. The first process, called LOCVAL, uses the location and living area to provide an estimate of the subject property's value. The second process, called AIGEN, is a generative artificial intelligence method that trains a fuzzy-neural network using a subset of cases from a case-base, and produces a run-time system to provide an estimate of the subject property's value. The third process, called AICOMP, uses a case based reasoning process similar to the sales comparison approach to determine an estimate of the subject property's value.

Abstract: The present invention is a method and system for automating the process for valuing a property that progduces an estimated value of a subject property, and a quality assessment of the estimated value. The process is a generative artificial intelligence method that trains a fuzzy-neural network using a subset of cases from a case-base, and produces a run-time system to provide an estimate of the subject property's value. In one embodiment, the system is a network-based implementation of fuzzy inference based on a system that implements a fuzzy system as a five-layer neural network so that the structure of the network can be interpreted in terms of high-level rules. The neural network is trained automatically from data. IF/THEN rules are used to map inputs to outputs by a fuzzy logic inference system. Different models for the same problem can be obtained by changing the inputs to the neuro-fuzzy network, or by varying its architecture.

Abstract: In this invention there is disclosed a system and method for generating a fuel-optimal reference velocity profile for a rail-based transportation handling controller. The fuel-optimal reference velocity profile is used to reduce the amount of fuel consumption. The fuel-optimal reference velocity profile is generated to take into account the speed that a train must travel at in order to satisfy a given schedule, speed constraints that will minimize fuel consumption, and recommended speeds that will prevent train breaks, derailments, cargo damage and violation of safety rules. In this invention, the fuel-optimal reference velocity profile is generated by using a genetic algorithm.

Abstract: In this invention there is disclosed a system and method for tuning a speed controller that is used to keep a rail-based transportation system within a prescribed speed limit while providing a smooth ride. A fuzzy logic controller is synthesized to track the performance of a train simulator to a predetermined velocity profile over a specified track profile. A genetic algorithm is used to adjust the fuzzy logic controller's performance by adjusting its parameters in a sequential order of significance.

Abstract: In this invention there is disclosed a system and method for tuning look-ahead error measurements that is used to improve the train handling performance of a rail-based transportation system. A look-ahead error module along with a fuzzy logic controller is synthesized to ensure that a train simulator complies to a prescribed speed limit over a specified track profile while providing a smooth ride. A genetic algorithm is used to adjust the parameters of the look-ahead error module.

Abstract: In this invention there is disclosed a system and method for predicting web breaks in a paper machine. In particular, this invention uses a neural network to predict web break tendencies from sensor measurements taken from the paper machine. Also, an induction tree model is used to isolate the root cause of the predicted web break tendencies.