Spiking Neural Networks are the most realistic model compared to its biological counterpart. This paper introduces a MATLAB toolbox that is specifically designed for simulating spiking neural networks. The toolbox includes a set of functions that are useful for: creating and organizing the desired architecture; updating stimuli signals, adapting synapses and simulating the network; extracting a...

This paper addresses the application of integrated chargeability and resistivity method and grade data in modeling and evaluation of copper deposits. We argue that the relationship between IP, Rs and grade data may be used for modeling and reserve estimation and tested this argument for Sarbisheh copper deposit that is located in eastern Iran. Geology and mineralization situation of Sarbisheh d...

In this paper statistical and time series models are used for determining the random drift of a dynamically Tuned Gyroscope (DTG). This drift is compensated with optimal predictive transfer function. Also nonlinear neural-network and fuzzy-neural models are investigated for prediction and compensation of the random drift. Finally the different models are compared together and their advantages a...

Conventional neural network modeling techniques are not suitable for developing models that have many input variables because data generation and model training become too expensive. In this paper, an efficient neural network modeling technique for microstrip hairpin band pass filter that have many input variables is proposed. The decomposition approach is used to simplify the overall high dime...

In this paper, a new architecture combining dynamic neural units and fuzzy logic approaches is proposed for a complex chemical process modeling. Such processes need a particular care where the designer constructs the neural network, the fuzzy and the fuzzy neural network models which are very useful in black box modeling. The proposed architecture is specified to the pH chemical reactor due to ...

rice blast, caused by pyricularia grisea, is one of the most important diseases of this crop in iran and all over the world. to evaluate the relationship between spore population (sp) and meteorological factors, sp was measured daily using spore trap during growing seasons of 2006-2008 in rasht and lahijan regions (guilan province, iran). weather data including precipitation, daily maximum and ...

To create conversational systems working in actual situations, it is crucial to assume that they interact with multiple agents. In this work, we tackle addressee and response selection for multi-party conversation, in which systems are expected to select whom they address as well as what they say. The key challenge of this task is to jointly model who is talking about what in a previous context...

For the characteristics that a hypersonic vehicle has a large span of flight height and flight Mach number, and complicated flight environment, the model of which is highly nonlinear, unstable and multivariablecoupled, where using a single modelling approach is often difficult to achieve high modeling accuracy, hybrid modeling method is proposed to design its performance digital mock-up. The pe...