Quality of neural network mappings may be evaluated by visual inspection of hidden and output node activities for the training dataset. This paper discusses how to visualize such multidimensional data, introducing a new projection on a lattice of hypercube nodes. It also discusses what type of information one may expect from visualization of the activity of hidden and output layers. Detailed an...

Composite adaptive radial basis function neural network (RBFNN) control with a lattice distribution of hidden nodes has three inherent demerits: 1) the approximation domain RBFNNs is difficult to be determined a priori ; 2) only partial persistence excitation (PE) condition can guaranteed; 3) i...

All Rights Reserved iv Dedication This thesis is dedicated to my parents. They have supported me in my studies. and feedback on this thesis. I would also like to thank all the faculty members and staff of Indiana University South Bend who have taught and helped me during my studying. Finally, I would like to thank my parents for their support and patience. Abstract The RTS/CTS mechanism is an o...

Wireless Sensor Networks (WSNs) emerge as underlying infrastructures for new classes of large-scale networked embedded systems. However, WSNs system designers must fulfill the Quality-of-Service (QoS) requirements imposed by the applications (and users). Very harsh and dynamic physical environments and extremely limited energy/computing/memory/communication node resources are major obstacles fo...

This paper proposes a Neural Network model using Generalised kernel functions for the hidden layer of a feed forward network. These functions are Generalised Radial Basis Functions (GRBF), and the architecture, weights and node topology are learned through an evolutionary algorithm. The proposed model is compared with the corresponding standard hidden-node models: Product Unit (PU) neural netwo...

The Cascade Correlation architecture is unique in its abilities to construct sensibly a network topology during training — taking into account all possible connections. This paper investigates a number of different connection strategies for the hidden nodes that Cascade Correlation inserts into a network, by limiting the connections a hidden node may make.

To avoid collisions, IEEE 802.11 medium access control (MAC) uses predetermined inter-frame spaces and the random back-off process. However, the retransmission strategy of IEEE 802.11 MAC results in considerable time wastage. The hidden node problem is well known in wireless networks; it aggravates the consequences of time wastage for retransmission. Many collision prevention and recovery appro...