An artificial neural network can be used as an intelligent controller to control non-linear, dynamic system through learning. It can easily accommodate non-linearities and time dependencies. Most common multi-layer feed-forward neural networks have the drawbacks of large number of neurons and hidden layers required to deal with complex problems and require large training time. To overcome these...

This paper investigates a new class of linear multi-agent network systems, in which nodes are coupled by dynamic edges in the sense that each edge has a dynamic system attached as well. The outputs of the edge dynamic systems form the external inputs of the node dynamic systems, which are termed “neighboring inputs” representing the coupling actions between nodes. The outputs of the node dynami...

In this paper, I propose a new methodology to find the bicriteria shortest path from the source to the sink node of a network of queues under the steady-state condition. I assume the number of servers in each service station settled in a node of the network is either one or infinity. Moreover, the arc lengths are mutually independent random variables. First, I propose a method to transform each...

in recent years, the issue of energy consumption modeling techniques in the building sector has been widely considered by researchers and managers. researches indicate that energy consumption in residential sector is one of the main parts of the total consumption. moreover, the urban residence is supposed as a significant consumer of energy in every country and therefore a focus for energy cons...

The end-to-end multi-domain and multi-task learning of the full semantic frame of user utterances (i.e., domain and intent classes and slots in utterances) have recently emerged as a new paradigm in spoken language understanding. An advantage of the joint optimization of these semantic frames is that the data and feature representations learnt by the model are shared across different tasks (e.g...

Multi-class miner is well recognized method for stream data classification. For the process of multi-class miner evaluation of new feature during classification is major problem. The problem of feature evaluation decreases the performance of multi-class miner (MCM). For the improvement of multi-class miner particle of swarm optimization technique is used. Particle of swarm optimization controls...

Perencanaan waktu yang baik sangat dibutuhkan dalam penjadwalan proyek agar dapat dipastikan bahwa perencanaan ditetapkan tercapai dengan kesalahan paling kecil namun hasil maksimal mendayagunakan apa ada. Sebab itu, periode menjadi salah satu hal penting selain biaya untuk menyelesaikan suatu proyek. Jaringan kerja atau Network Planning adalah cara manajemen serta pengendalian proyek, menyajia...

A mobile ad-hoc network (MANET), a set of wirelessly connected sensor nodes, is a dynamic system that executes hop-by-hop routing independently with no external help of any infrastructure. Proper selection of cluster heads can increase the life time of the Ad-hoc network by decreasing the energy consumption. Although different methods have been successfully proposed by researchers to tackle...

A mobile ad-hoc network (MANET), a set of wirelessly connected sensor nodes, is a dynamic system that executes hop-by-hop routing independently with no external help of any infrastructure. Proper selection of cluster heads can increase the life time of the Ad-hoc network by decreasing the energy consumption. Although different methods have been successfully proposed by researchers to tackle...