الفهرس 
AcknowledgementOnly 14 pages are availabe for public view
 |  | from | 125 |  |  |
| | | from | 125 | | |
Abstract
During the last twenty years, the NN Models became the popular and prevailing means to handle and solve problems from application domains such as medical diagnosing, chemical engineering, stock market prediction, pattern recognition, ......etc.
Chapter one, presents the general background, objective, and outlines of the thesis. An overall survey of the literature, to analyze the data, information, and the results of previous work in this regard, related to the structure and behavior of neural networks (NN) was carried out and presented in chapter two.
The bottleneck in developing neural network applications is in the complex nature of the neural network models, the variations in the training procedures required to teach the network, and the difficulties in monitoring the success of the network and debugging its operation.
j Hence, the purpose of this work is to design and implement an efficient, Artificial Neural Network Simulation Environment, striving to have simplicity, generality, and jexpressive power, to overcome that prevailing situation, and as potential solution to [wide variety of problems.