Due to emerging internet technologies that mostly depend on the decentralization concept, such as cryptocurrencies, cyber attackers also use concept develop P2P botnets. botnets are considered one of most serious and challenging threats infrastructure security. Consequently, several open issues still need be addressed, improving botnet intrusion detection systems, because is essentially a confr...

In this paper a new two-layer linear-in-the-parameters feedforward network termed the Functionally Expanded Neural Network (FENN) is presented, together with its design strategy and learning algorithm. It is essentially a hybrid neural network incorporating a variety of non-linear basis functions within its single hidden layer which emulate other universal approximators employed in the conventi...

Interference in neural networks occurs when learning in one area of the input space causes unlearning in another area. Networks that are less susceptible to interference are referred to as spatially local networks. To obtain a better understanding of these properties, a theoretical framework, consisting of a measure of interference and a measure of network localization, is developed. These meas...

It is well known that if a Boolean function is expressed in sum of products, each function can be implemented with one level of AND gates followed by an OR gate. We will prove that if each desired output of a binary function is expressed in sum of products, each desired output can be implemented with one layer of perceptron nodes followed by a perceptron node. q 1998 Elsevier Science B.V. All r...

We have discovered a new scheme to represent the Fisher information matrix of a stochastic multi-layer perceptron. Based on this scheme, we have designed an algorithm to compute the inverse of the Fisher information matrix. When the input dimension n is much larger than the number of hidden neurons, the complexity of this algorithm is of order O(n 2) while the complexity of conventional algorit...

During a surgery, the inevitable presence of blood covering the surgical field demands efforts to keep the area as clean as possible. A new hyperspectral data processing method is being developed to deliver clearer images to the surgeon. The analysis of optical absorption properties of the blood and water indicates that, between the visible and near infrared spectral regions, some valuable info...

Artificial Neural Network (ANN) has been employed for determination of resonant frequency and quality factor for complementary split ring resonator (CSSRR). It has been observed that as the number of training samples increases, the testing error decreases. The error in testing also decreases with the increase in the number of neurons in the hidden layer of the three layer multi-layer perceptron...

We present a closed form expression for initializing the input weights in a multilayer perceptron, which can be used as the first step in synthesis of an Extreme Learning Machine. The expression is based on the standard function for a separating hyperplane as computed in multilayer perceptrons and linear Support Vector Machines; that is, as a linear combination of input data samples. In the abs...