Volume 29 Issue 1 • Feb 1999
Neural-network-based fuzzy model and its application to transient stability prediction in power systemsPublication Year: 1999, Page(s):149 - 157
Cited by: Papers (18)
We present a general approach to deriving a new type of neural network-based fuzzy model for a complex system from numerical and/or linguistic information. To efficiently identify the structure and the parameters of the new fuzzy model, we first partition the output space instead of the input space. As a result, the input space itself induces corresponding partitions within each of which inputs wo... View full abstract»
Cited by: Papers (10)
Cumulative trauma disorders (CTDs) of the upper body have been identified as one of the fastest growing workplace hazards. The specific combination and significance of risk factors contributing to CTDs of the hand and forearm is still lacking, and developing methodologies to quantify the relationships of risk factors is greatly needed. Furthermore, the nature of CTDs and variability among individu... View full abstract»
Cited by: Papers (18)
In our previous work, we developed a fuzzy classifier with ellipsoidal regions that has a training capability. In this paper, we extend the fuzzy classifier to diagnosis problems, in which the training data belonging to abnormal classes are difficult to obtain while the training data belonging to normal classes are easily obtained. Assuming that there are no data belonging to abnormal classes, we ... View full abstract»
Cited by: Papers (5)
Many organizations collect vast quantities of 3D scientific data in volumetric form for a range of purposes, including resource exploration, market forecasting and process modeling. Traditionally, these data have been interpreted by human experts with only minimal software assistance. However, such manual interpretation is a painstakingly slow and tedious process. Moreover, since interpretation in... View full abstract»
Cited by: Papers (4) | Patents (81)
The visual robustness of biological systems is in part due to their ability to actively integrate (fuse) information from a number of visual cues. In addition to active integration, the perception-action nature of biological vision demands event-driven behavioral composition. Providing mechanical vision systems with similar capabilities therefore requires tools and techniques for cue integration a... View full abstract»
Cited by: Papers (4)
This paper deals with the processing of air pollutant measures acquired in urban areas. A procedure for the optimization of a network for air pollutant monitoring is addressed. The proposed procedure allows for the optimization of the number of monitoring stations by using adequate mathematical models. Moreover, a continuous two-dimensional (2-D) map is used to search for the optimal reallocation ... View full abstract»
Cited by: Papers (52)
A computational prototype of negotiation behavior is presented where the following occurs: (1) agents employ different concession matching tactics; (2) agents are unaware of opponent preferences; (3) agents incur a cost for delaying settlements; (4) agents vary in terms of goal difficulty and initial offer magnitude; and (5) demands and counter-offers are made and evaluated based on the opponent's... View full abstract»
Cited by: Papers (8)
This contingency study was undertaken to increase understanding of the way in which management support and communication characteristics influence teleworkers' use of communication media. Complexity of communication tasks, communication urgency, and perceived reliability of a medium comprise variables of communication characteristics. These variables represent theoretical dimensions of media richn... View full abstract»
Cited by: Papers (120) | Patents (1)
Evolvable hardware (EHW) has attracted increasing attention since the early 1990s with the advent of easily reconfigurable hardware, such as field programmable gate arrays (FPGAs). It promises to provide an entirely new approach to complex electronic circuit design and new adaptive hardware. EHW has been demonstrated to be able to perform a wide range of tasks, from pattern recognition to adaptive... View full abstract»
Cited by: Papers (26)
Empirical evidence suggests that, in practice, it is difficult to reach Pareto-optimal agreements in negotiations. In this paper, we take a constructive approach to this question in two-party negotiations over continuous issues. A new negotiation procedure is presented that results in Pareto-optimal agreements under fairly general assumptions. The procedure uses a mediator who assists the decision... View full abstract»
Cited by: Papers (28)
A multi-stage hierarchical fuzzy control system with a multi-echelon structure for depth of anaesthesia (DOA) is described in this paper. There are four echelons that monitor, control, interpret and assess the whole surgical operation. Echelon 1 is a measurement and control action level that involves: instrument sensing (Dinamap); anaesthetist observations [measurement of sweating (SW), lacrimatio... View full abstract»
Cited by: Papers (70)
This paper is concerned with the adaptive control of continuous-time nonlinear dynamical systems using neural networks. A novel neural network architecture, referred to as a variable neural network, is proposed and shown to be useful in approximating the unknown nonlinearities of dynamical systems. In the variable neural networks, the number of basis functions can be either increased or decreased ... View full abstract»
Cited by: Papers (69) | Patents (1)
A genetic algorithm (GA) approach is proposed for the general resource-constrained project scheduling model, in which activities may be executed in more than one operating mode, and renewable as well as nonrenewable resource constraints exist. Each activity's operation mode has a different duration and requires different amounts of renewable and nonrenewable resources. The objective is the minimiz... View full abstract»
Cited by: Papers (66) | Patents (1)
Proposes a new probabilistic neural network (NN) that can estimate the a-posteriori probability for a pattern classification problem. The structure of the proposed network is based on a statistical model composed by a mixture of log-linearized Gaussian components. However, the forward calculation and the backward learning rule can be defined in the same manner as the error backpropagation NN. In t... View full abstract»
Aims & Scope
This Transactions ceased production in 2012. The current retitled publication is IEEE Transactions on Human-Machine Systems.
Overview, tutorial and application papers concerning all areas of interest to the SMC Society: systems engineering, human factors and human machine systems, and cybernetics and computational intelligence.
Authors should submit human-machine systems papers to the IEEE Transactions on Human-Machine Systems.
Authors should submit systems engineering papers to the IEEE Transactions on Systems, Man and Cybernetics: Systems.
Authors should submit cybernetics papers to the IEEE Transactions on Cybernetics.
Authors should submit social system papers to the IEEE Transactions on Computational Social Systems.
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Dr. Vladimir Marik
(until 31 December 2012)