The architecture and working of the Artificial Neural Networks are an inspiration from the human brain. The brain due to its highly parallel nature and immense computational powers still remains the motivation for researchers. A single system-single processor approach is a highly unlikely way to model a neural network for large computational needs. Many approaches have been proposed that adopt a parallel implementation of ANNs. These methods do not consider the difference in processing powers of the constituting units and hence workload distribution among the nodes is not optimal. Human brain not always has equal processing power among the neurons. A person having disability in some part of brain may be able to perform every task with reduced capabilities. Disabilities weaken the proces...
... within the European production architecture, the impact of the changing division of labour on ... at the sectoral level involved formal information exchanges on the countries' industrial relations s...
The present work proposes the architecture Clonart (Clonal Adaptive Resonance Theory), a Hybrid Model that employs techniques like intelligent operators, clonal selection principle, local search, memory antibodies and ART clusterization, in order to increase the performance of the algorithm. The approach uses a mechanism similar to the ART 1 network for storing a population of memory antibodies that will be responsible for the acquired knowledge of the algorithm. This characteristic allows the algorithm a self-organization of the antibodies in accordance with the complexity of the database.
... the MNC's formal organizational architecture. . * Taking a subsidiary's performance as an obser... integration, MNCs strive to utilize information and other knowledge assets developed by diverse su...
In this article, we propose an automated construction of knowledge based artificial neural networks (KBANN) for the recognition of restricted sets of handwritten words or characters. The features that better describe the chosen vocabulary are first selected, according to the characteristics of the used script, language and lexicon. Then, ideal samples of lexicon elements (words or characters) are submitted to a feature extraction module to derive their description using the chosen primitives. The analysis of these descriptions generates a symbolic knowledge base reflecting a hierarchical classification of the words (or characters). The rules are then translated into a multilayer neural network by determining precisely its architecture and initializing its connections with specific value...
Social systems theory as developed by Niklas Luhmann is an option for the theoretical foundation of Human Resource Management (HRM). After clarifying the advantages of using a grad (social) theory as the basic theoretical perspective, the roots of this social systems theory - the deterministic view of systems as machines, the open systems approach and non-linear systems theory - are addressed. Based on the view of social systems as autopoietically closed systems, 5 major contributions to a theoretical foundation of HRM are identified: 1. the conceptualization of organizing and managing human resources as social processes, thus overcoming an individualistic angle, 2. the new importance of individuals as essential element in the system's environment, 3. the abstention form far reaching or...
...In other words: it creates its own informational image about the environment. The dominating differ... psyche gives the whole theoretical architecture more flexibility. It is not bound by assumptions a...
... market liberalization and advances in information and communication technologies (Jean et al. 2010; ... manipulate the formal organizational architecture. The parent firm integrates its subsidiaries by gr...
A unifying picture to the hermeneutical approach to schizophrenia is given by combining the philosophical and the experimental/computational approaches. Computational models of associative learning and recall in the corticohippocampal system helps to understand the circuits of normal and pathological behavior.
...7.2 The model architecture. Granule cells in the dentate gyrus receive inform...
Tracking moving objects is a vital visual task for the survival of an animal. We describe oscillatory neural network models of visual attention with a central element that can track a moving target among a set of distracters on the screen. At the initial stage, the model forms the focus of attention on an arbitrary object that is considered as a target. Other objects are treated as distracters. We present here two models: 1) synchronisation based model designed as a network of phase oscillators and 2) spiking neural model which is based on the idea of resource-limited parallel visual pointers. Selective attention and the tracking process are represented by the partial synchronisation between the central unit and a subgroup of peripheral elements. Simulation results are in overall agreem...
...The architecture of connections in LEGION is similar to the one tha...
Artificial Neural Networks are commonly used in pattern classification, function approximation, optimization, pattern matching, machine learning and associative memories. They are currently being an alternative to traditional statistical methods for mining data sets in order to classify data. Artificial Neural Networks are well-established technology for solving prediction and classification problems, using training and testing data to build a model. However, the success of the networks is highly dependent on the performance of the training process and hence the training algorithm. In this paper, we applied the Artificial Bee Colony (ABC) Optimization Algorithm on training feed-forward neural networks to classify different data sets which are widely used in the machine learning communit...
... networks largely depends on their architecture, their training algorithm, and the choice of featu...
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christmas | vogel law firm | franchising world | Datenbasis | ecowas nigeria | 6 maio 2008 | entreprise publique définition | ajuste estructural concepto | personalidad | Excepción de falta de jurisdicción
