نتایج جستجو برای: neuralnetworks
تعداد نتایج: 37 فیلتر نتایج به سال:
farinograph is the most frequently used equipment for empirical rheological measurements of dough. it’suseful to illustrate quality of flour, behavior of dough during mechanical handling and texturalcharacteristics of finished products. the percentage of water absorption and the development time of doughare the most important parameters of farinography for bakery industries during production. h...
Natural Language Processing (NLP) was one of the original motivations leading to programming in logic [1] back in the seventies, with Colmerauer’s Metamorphosis Grammars [2] and with Pereira and D.H.D Warren’s Definite Clause Grammars [3], enhanced later with mechanisms for hypothetical reasoning [4]. Montague Grammars (implemented in Prolog by D.S. Warren [5]) and work by Veronica Dahl on defi...
Proposed is an efficient face recognition algorithm using the discrete cosine transform DCT Technique for reducing dimensionality and image parameterization. These DCT coefficients are examined by a MLP (Multi-Layer Perceptron) and radial basis function RBF neural networks. Their purpose is to present a face recognition system that is a combination of discrete cosine transform (DCT) algorithm w...
Neural networks are known for their ability to recognize patterns of noisy, complex data and to estimate a nonlinear relationship between them. But the design of neural networks is very complex because it works on the principle of “black box.” The application of genetic algorithms in neural networks with hybrid systems can improve a network’s ability to make predictions. Hybrid systems involve ...
In this chapter a brief review is given of computational systems that are motivated by information processing in the brain, an area that is often called neurocomputing or artificial neural networks. While this is now a well studied and documented area, specific emphasis is given to a subclass of such models, called continuous attractor neural networks, which are beginning to emerge in a wide co...
The goal of cryptography is to make it impossible to take a cipher and reproduce the original plain text without the corresponding key. With good cryptography, your messages are encrypted in such a way that brute force attacks against the algorithm or the key are all but impossible. Good cryptography gets its security by using incredibly long keys and using encryption algorithms that are resist...
[1] ahmad, s. and simonovic, s.p. (2005). an artificial neural network model for generating hydrograph from hydrometeorological parameters, j. hydrol, 315, 236-251. [2] agarwal, a., mishra, s.k., ram, s. and singh, j.k. (2006). simulation of runoff and sediment yield using artificial neural networks, biosys. eng, 94(4), 597-613. [3] amini, m., abbaspour, k.c., khademi, h., fathianpour, n., afy...
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