The Critical Heritage gathers together a large body of critical sources on major figures in literature. Each volume presents contemporary responses to a writer's work, enabling student and researcher to read the material themselves.

Table of Contents:
Contents: D. Sobajic, Foreword. Part I:Perspectives.Y-H. Pao, G-H. Park, Learning and Generalization Characteristics of the Random Vector Functional-Link Net. C-C. Liu, M. Damborg, Artificial Neural Networks and Expert Systems in the Power System Operation Environment. E. Bradley, A Utility Perspective on Neural Networks, Fuzzy Logic, and Artificial Intelligence. Part II:Neural Network Methodologies.B. Widrow, M.A. Lehr, Backpropagation and Its Applications. F. Beaufays, E.A. Wan, Using Flow Graph Interreciprocity to Relate Recurrent-Backpropagation and Backpropagation-Through-Time. A. Guha, Neural Network Based Inferential Sensing and Instrumentation. S.A. Harp, T. Samad, Optimizing Neural Networks Using Genetic Algorithms. Part III:Nuclear Power Plants.R. Uhrig, Potential Use of Neural Networks in Nuclear Power Plants. M. Khadem, A. Ipakchi, F.J. Alexandro, R.W. Colley, Sensor Validation in Power Plants Using Neural Networks. A. Ikonomopoulos, L. Tsoukalas, R. Uhrig, Measuring Fuzzy Variables in a Nuclear Reactor Using Artificial Neural Networks. Y.D. Lukic, C.R. Stevens, J. Si, Application of a Real Time Artificial Neural Network for Classifying Nuclear Power Plant Transient Events. J.A. Boshers, C.H.M. Saylor, S. Kamadolli, R. Wood, C. Isik, Control Rod Wear Recognition Using Neural Nets. R. Doremus, Severe Accident Management System On-Line Network (SAMSON). Part IV:Power System Operation.H. Ren-mu, A.J. Germond, Comparison of Dynamic Load Models Extrapolation Using Neural Networks and Traditional Methods. B. Avramovic, On Neural Network Voltage Assessment. D. Sobajic, Y-H. Pao, M. Djukanovic, Neural Network Synthesis of Tangent Hypersurfaces for Transient Security Assessment of Electric Power Systems. D. Niebur, A.J. Germond, Power System Static Security Assessment Using the Kohonen Neural Network Classifier. H. Mori, Voltage Stability Monitoring with Artificial Neural Networks. D. Novosel, A.B. Boveri, R.L. King, Intelligent Load Shedding. E. Chan, N. Markushevich, R. Adapa, Considerations in Intelligent Alarm Processing. Part V:Modeling and Prediction.D.J. Sobajic, Y-H. Pao, D.T. Lee, Predictive Security Monitoring with Neural Networks. A.G. Parlos, A.D. Patton, Empirical Modeling in Power Engineering Using the Recurrent Multilayer Perceptron Network. T. Samad, Modeling and Identification with Neural Networks. E. Wan, Autoregressive Neural Network Prediction: Learning Chaotic Time Series and Attractors. Part VI:Control.B. Widrow, F. Beaufays, Neural Control Systems. R.L. King, M.L. Oatts, Potential Uses of Intelligent and Adaptive Controls for Electric Power System Operations in the Year 2000 and Beyond. F. Beaufays, B. Widrow, Load-Frequency Control Using Neural Networks. L.L. Adams, Reinforcement Learning for Adaptive Control. Part VII:Load Forecasting.A.J. Germond, N. Macabrey, T. Baumann, Application of Artificial Neural Networks to Load Forecasting. M. Khadem, A. Lago, E. Dobrowolski, Short-Term Electric Load Forecasting Using Neural Networks. J.Y. Cheung, J. Fagan, D.C. Chance, Load Forecasting by Hierarchical Neural Networks that Incorporate Known Load Characteristics. Part VIII:Scheduling and Optimization.H. Sasaki, Y. Takiuchi, J. Kubokawa, A Solution Method for Maintenance Scheduling of Thermal Units by Artificial Neural Networks. H. Saitoh, Y. Shimotori, J. Toyoda, Generation Dispatch Algorithm Coordinating Economy and Stability by Using Artificial Neural Networks. Part IX:Fault Diagnosis.T. Baumann, A.J. Germond, D. Tschudi, Impulse Test Fault Diagnosis on Power Transformers Using Kohonen's Self-Organizing Neural Network. Y. Du, F. Wang, T.C. Cheng, A Case Study of Neural Network Application: Power Equipment Application Failure. A. Agogino, M-L. Tseng, P. Jain, Integrating Neural Networks with Influence Diagrams for Power Plant Monitoring and Diagnostics. W.L. Biach, Use of Neural Network in Optimizing RPV Bolting Procedures.