The proceedings contains 5 papers on AI applications in power systems. Topics discussed include expert systems, decision support systems, electric power system protection, voltage control, neuralnetworks, genetic alg...
详细信息
The proceedings contains 5 papers on AI applications in power systems. Topics discussed include expert systems, decision support systems, electric power system protection, voltage control, neuralnetworks, genetic algorithms, planning, systems analysis and mathematical models.
The proceedings contains 9 papers on the Qualitative and quantitative modelling methods for fault diagnosis. Topics discussed include failure analysis, error detection, error analysis, systems analysis, constraint the...
详细信息
The proceedings contains 9 papers on the Qualitative and quantitative modelling methods for fault diagnosis. Topics discussed include failure analysis, error detection, error analysis, systems analysis, constraint theory, adaptive systems, fuzzy sets, neuralnetworks, process engineering and mathematical models.
The Advanced Computer Architecture Group at York has initiated the Advanced Uncertain Reasoning Architecture (AURA) project which aims to develop a new class of architecture for integrated symbolic and sub-symbolic pr...
详细信息
The Advanced Computer Architecture Group at York has initiated the Advanced Uncertain Reasoning Architecture (AURA) project which aims to develop a new class of architecture for integrated symbolic and sub-symbolic processing. These architectures will be based on a class of neural network called binary correlation matrix memory (CMM). The approach adopted supports optimal associative memory mappings, which are robust in the presence of noisy or imperfect inputs, and offer considerable flexibility in the representation of knowledge. An example of how AURA can provide anytime functionality in real time identification has been described.
There have been several studies of neuralnetworks whose response properties approximate those found in mammalian visual systems. Most of these have been concerned with the evolution of single units or small sets of u...
详细信息
There have been several studies of neuralnetworks whose response properties approximate those found in mammalian visual systems. Most of these have been concerned with the evolution of single units or small sets of units having receptive field profiles which are eigenvectors of an appropriately defined energy function. While studies of individual units are important, one of the most striking features of the visual system is its global structure, represented by the so called retinotopic maps, found at all levels of the system studied so far. The probable structure and perceptual function of such a visual system are discussed.
The proceedings contains 8 papers. Topics discussed include self tuning control application to automation voltage regulation, online adaptive control of steel hot rolling, adaptive control applications in stone proces...
详细信息
The proceedings contains 8 papers. Topics discussed include self tuning control application to automation voltage regulation, online adaptive control of steel hot rolling, adaptive control applications in stone processing, generalized predictive control in medicine, fuzzy control application to industrial systems, adaptive control based on system knowledge, multiburner furnace control, and neuralnetworks in computer control.
The proceedings contains 7 papers on real time knowledge based systems. Topics discussed include fault diagnosis using cost bounded possibilistic Assumption based Truth Maintenance System (ATMS), scheduling for time c...
详细信息
The proceedings contains 7 papers on real time knowledge based systems. Topics discussed include fault diagnosis using cost bounded possibilistic Assumption based Truth Maintenance System (ATMS), scheduling for time constrained model based diagnosis, neuralnetworks for real time knowledge based applications, methodology for developing model based diagnostic systems, large scale real time knowledge based methods and technology, bloom and billet mill expert systems, and a model based and rule based real time tool for monitoring and diagnosis of dynamic systems.
Simulations of fuzzy logic and neural network based control algorithms show some useful insights into the potential of soft computing in the control regime of electrical motor servos and drives. Results show that soft...
详细信息
Simulations of fuzzy logic and neural network based control algorithms show some useful insights into the potential of soft computing in the control regime of electrical motor servos and drives. Results show that soft computing offers robustness to a conventional PI controller, and can overcome positional steady state error due to the system's nonlinearities. Design procedures are more straightforward as stringent mathematical models and analysis are usually not involved. Formulation of membership functions and tuning the boundaries of these functions are, however, time-consuming, and solutions may not be guaranteed.
Databases are complex structures that may conceal implicit patterns of information that cannot be easily discovered by conventional analysis and interrogation methods. This situation can be exacerbated as the database...
详细信息
Databases are complex structures that may conceal implicit patterns of information that cannot be easily discovered by conventional analysis and interrogation methods. This situation can be exacerbated as the database grows in size, and the data therein grows in complexity. Discovery of patterns and trends in such cases requires database query methods more advanced than those traditionally used. Such databases may be analyzed using a set of techniques often collectively referred to as knowledge discovery. Knowledge discovery may be performed effectively using neuralnetworks. The use of neural network techniques for knowledge discovery in an infertility database is described.
High speed manufacturing systems require continuous operation with minimal disruption for repairs and service. A good way of achieving this is through the use of an intelligent diagnostic system. This report provides ...
详细信息
High speed manufacturing systems require continuous operation with minimal disruption for repairs and service. A good way of achieving this is through the use of an intelligent diagnostic system. This report provides a system capable of detecting a number of faults. By using this system, maintenance can be scheduled in advance of sudden failure, and the necessity to replace parts at intervals based on mean time between failures can be reduced. Instead, parts will need to be replaced only when necessary.
The paper describes preliminary investigations into the application of RAM-based neuralnetworks to image reconstruction for tomographic systems. Amenability to hardware implementation and the trivial mathematics invo...
详细信息
The paper describes preliminary investigations into the application of RAM-based neuralnetworks to image reconstruction for tomographic systems. Amenability to hardware implementation and the trivial mathematics involved in recall suggest that the RAM-based approach may allow for high speed reconstruction of images at a fraction of the cost of traditional reconstruction methods. Simulated data for a 12 electrode capacitance tomography system, with a 2-phase flow regime, have been generated using finite element modelling. Through extensive software simulations, image flows have been reconstructed from capacitance measurements. Results for two flow regimes (stratified and bubble) are presented. Careful selection of the training patterns and network parameters reveals that high fidelity images can be reconstructed.
暂无评论