Artificial neural networks by Schalkoff, Robert J.

Table of Contents: “…Overview: artificial neural networks and neural computing -- Mathematical fundamentals for ANN study -- Elementary ANN building blocks -- Single-unit mappings and the perceptron -- Introduction to neural mappings and pattern associator applications -- Feedforward networks and training: part 1 -- Feedforward networks, part 2: extensions and advanced topics -- Recurrent networks -- Competitive and self-organizing networks -- Radial Basis Function (RBF) networks and Time Delay Neural Networks (TDNNs) -- Fuzzy neural networks including fuzzy sets and logic and ANN implementations -- ANN hardware and implementation concerns…”

Principles of artificial neural networks by Graupe, Daniel

Artificial neural networks for image understanding by KulkarnilhArun D.

Predicting diabetes mellitus using artificial neural network (ANN) by Muhammad Akmal Sapon

Performance prediction for upnm ee student using artificial neural network Nadzirul Hanif Mohd Nasir by Nadzirul Hanif Mohd Nasir

Development of artificial neural network for classification river water quality based on algae composition by Nor Aini Mokhtar

HYBRID EVOLUTIONARY-BARNACLES MATING OPTIMISATION-ARTIFICIAL NEURAL NETWORK BASED TECHNIQUE FOR SOLVING ECONOMIC POWER DISPATCH PLANNING AND OPERATION / by Nor Laili Ismail

Intelligent visual inspection using artificial neural networks by Rosandich, Ryan C

Artificial neural networks in real-life applications Juan R. Rabuñal and Julián Dorrado, editors

ANALYSING SIGNIFICANT AUTOMOBILE CARBON DIOXIDE (CO2) EMISSION FACTORS FOR ECO-FRIENDLY AUTOMOTIVE FRAMEWORKS USING DESCRIPTIVE ANALYTICS AND ARTIFICIAL NEURAL NETWORK (ANN) TECHNOLOGY / by Rozita Husain

Uncertainty treatment using paraconsistent logic introducing paraconsistent artificial neural networks by Silva Filho, João Inácio da

Assessment And Modelling Of Explosion Performance For Military Plastic Explosive (PE4) aND eMULEX eXPLOSIVE uNDER tEMPERATURE eFFECTS Using Artificial Neural Network (ANN) by Mohd Sharil Salleh

An Introduction to IoT Analytics / by Perros, Harry G.

Table of Contents: “…Review of probability theory -- Simulation techniques -- Hypothesis testing -- Multivariable linear regression -- Time series forecasting -- Dimensionality reduction -- Clustering techniques -- Classification techniques -- Artificial neural networks -- Support vector machines -- Hidden Markov models…”

Electricity pricing regulated, deregulated and smart grid systems by Sen, Sawan, Sengupta, Samarjit, Chakrabarti, Abhijit

Table of Contents: “…Prologue -- Background and literature survey -- Analysis of voltage stability of longitudinal power supply system using an artificial neural network -- Improvement of system performances using FACTS and HVDC -- Multi-objective optimization algorithms for deregulated power market -- application of stochastic optimization techniques in the smart grid -- Epilogue…”

Water resources systems by Bhave, Pramod R.

Table of Contents: “…Water resources and management -- Augmentation of water resources -- Systems approach -- Principles of hydraulics, hydrology and probabilility -- Optimization principles -- Economic analysis -- Single-purpose system -- Multipurpose and multiobjective systems -- Hierarchical systems -- Reservoir storage: capacity estimation and operation -- Genetic algorithm and other evolution techniques -- Uncertainty, reliability and resilience -- Fuzzy sets and fuzzy logic -- Artificial neural networks -- Miscellaneous topics…”

Data Mining Concepts, Models, Methods, and Algorithms by Kantardzic, Mehmed

Table of Contents: “…Data-Mining Concepts -- Preparing the Data -- Data Reduction -- Learning from Data -- Statistical Methods -- Decision Trees and Decision Rules -- Artificial Neural Networks -- Ensemble Learning -- Cluster Analysis -- Association Rules -- Web Mining and Text Mining -- Advances in Data Mining -- Genetic Algorithms -- Fuzzy sets and Fuzzy Logic -- Visualization Methods -- Appendix A -- Appendix B: Data-Mining Applications…”

Rock engineering design properties and applications of sound level by Vardhan, Harsha, Bayar, Rajesh Kumar

Table of Contents: “…Application of artificial neural networks -- 9. Case study : sound level versus rock properties -- 10. …”

Metaheuristics in water, geotechnical and transport engineering

Table of Contents: “…Hybrid Heuristic Optimization Methods in Geotechnical Engineering -- 10. Artificial Neural Networks in Geotechnical Engineering: Modeling and Application Issues -- 11. …”

Metaheuristics in water, geotechnical and transport engineering

Table of Contents: “…Hybrid Heuristic Optimization Methods in Geotechnical Engineering -- 10. Artificial Neural Networks in Geotechnical Engineering: Modeling and Application Issues -- 11. …”

Pattern recognition with neural networks in C++ by Pandya, Abhijit S.