Pattern recognition: neural networks in perspective

Prediction and multi-objective optimization of high-strength concrete parameters via soft computing approaches

“…A great variety of NN architectures have been proposed and at least fifty different types are being explored in research for different applications (Nielsen, 1988;Wang, 1993). Among those, Back propagation networks have quickly become the most widely encountered NNs, particularly within the area of systems and control (Kohonen, 1988).…”

Prediction of compressive and tensile strength of Gaziantep basalts via neural networks and gene expression programming

“…After repeating this procedure that is called training several times, the network is ''trained'' and can be used with input data not shown previously. A great variety of ANN architectures have been proposed and at least 50 different types are being explored in research for different applications [24,25]. Among those, Back propagation networks have quickly become the most widely encountered ANNs, particularly within the area of systems and control [17,26].…”

Fixed-time synchronization of semi-Markovian jumping neural networks with time-varying delays

“…In the past decades, the neural networks (NNs) have been found extensive applications in many areas, such as pattern recognition, computer vision, speech synthesis, artificial intelligence and so on; see [1][2][3]. Such a wide range of applications attract considerable attention from many scholars to the dynamical behavior of the networks.…”