[PDF] Top 20 An implementation of flexible RBF neural networks
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An implementation of flexible RBF neural networks
... Uma vez escolhida a plataforma, iniciou-se a implementac¸˜ao do FRBF e das suas me- lhorias. Um dos primeiros desafios a ultrapassar foi a inexistˆencia de documentac¸˜ao para desenvolvimento. Tal facto implicou a ... See full document
105
A DOE based approach for the design of RBF artificial neural networks applied to prediction of surface roughness in AISI 52100 hardened Steel turning
... use of artificial neural networks for prediction in hard turning has received considerable attention in ...literature. An often quoted drawback of ANNs is the lack of a ... See full document
8
Similarity-based Heterogeneous Neural Networks
... is flexible, offering means for the de- sign of neuron models having certain desirable prop- ...definition of these neuron models, whose computation as a pattern recognizer is explicitly de- fined as ... See full document
14
Implementation of linear network coding over a flexible emulator
... Computer networks have suffered huge several changes over the ...routing of data in a network was pretty simple, since the intermediate nodes intervening in the routing of packets by simply ... See full document
96
Security Assessment of Software Design using Neural Network
... still an area where many researches are currently being undertaken. Neural Networks has been one of the technologies used during software implementation and testing phase of SDLC ... See full document
7
Adversarial Domain Adaptation for Sensor Networks
... availability of GPUs that decreased their training time by up to 20 times when compared to ...first implementation of CNNs on GPUs was proposed by ...obtain an acceleration factor of 60 ... See full document
83
Electric Voltage Control as an Implementation of Neural Network Applications
... Artificial neural networks are simplified models of the central nervous ...are networks of highly interconnected neural computing elements that have the ability to respond to ... See full document
6
A RECURRENT ELMAN NEURAL NETWORK - BASED APPROACH TO DETECT THE PRESENCE OF EPILEPTIC ATTACK IN ELECTROENCEPHALOGRAM (EEG) SIGNALS
... Elman Neural Network and Approximate Entropy(ApEn) as an input feature for implementation of detection of ...detection of epileptic seizures. We described one kind of ... See full document
4
Aprendizado multi-objetivo deredes RBF e de Máquinas de kernel
... One of the earliest approaches of such multi-objective treatment of supervised learning was developed in ...finding of approx- imate solutions to the problem of multi-objective ... See full document
194
Modeling of Thermodynamic Properties based on Neurofuzzy System for Steam Power Plant
... properties of material and mixture material such as water steam was ...mixture of vapor and water called water ...Both of intelligence systems, which are BNNs and NFs, were successful in the training ... See full document
6
Bose –Einstein Condensation in Complex networks related to Consciousness
... citation networks have been shown to follow Bose statistics and can undergo Bose-Einstein ...that neural networks connected by gap junctions may also follow Bose statistics and undergo Bose-Einstein ... See full document
5
Evaluation of deciduous broadleaf forests mountain using satellite data using neural network method near Caspian Sea in North of Iran
... diversity of valuable forest products have led to increased population density, creating new residential areas and deforestation ...one of the fundamental methods in management and assessment of ... See full document
6
Soft Sensor Based on Dynamic Principal Component Analysis and Radial Basis Function Neural Network for Distillation Column
... elimination of the high correlations among the process measured secondary variables leading to low dimensional uncorrelated transformed ...data. An adaptive modified GAP-RBF neural network has ... See full document
5
Generation of Lyapunov Functions by Neural Networks
... Stability of nonlinear dynamic systems plays an important role in systems theory and ...stability of nonlinear control systems is the theory introduced in Alexandr Mikhailovich ...for an ... See full document
5
Artificial neural network analysis of genetic diversity in
... study of genetic diversity is fundamental in the preliminary selection of accessions with superior characteristics and for a successful use of these genotypes in breeding ...purpose of this ... See full document
8
CNNcon: improved protein contact maps prediction using cascaded neural networks.
... number of contacts in a protein is proportional to the protein length N, while the number of possible contacts increases with N(N{1)=2 [12], implies the contact densities in the map decrease as the inverse ... See full document
7
Applications of neural networks to control systems
... topology of the MLPs employed was ...range of the outputs of the neurons in the output layer is typically ...value of the weights and the biases associated with the neurons in the output ... See full document
202
An Arabic Text-To-Speech System Based on Artificial Neural Networks
... the neural network, a series of preliminary processing has to be ...the neural network. However, neural networks only recognize numerical inputs, therefore, the ASCII code of ... See full document
7
Res. Biomed. Eng. vol.32 número3
... Two of them are related to morphological skeleton: elliptic normalized skeleton (ENS) and skeleton end ...Six of them are related to radial normalized length (NRL): NRL area ratio (dA), NRL mean (dμ), NRL ... See full document
10
A PROTOTYPE FOR CLASSIFICATION OF CLASSICAL MUSIC USING NEURAL NETWORKS
... set of features based on those used in [5] and [2], encompassing especially timbre and pitch content, which seemed relevant for the task under analysis: the number of zero crossings, loudness, spectral ... See full document
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