Fuzzy logic and neural network handbook

Fuzzy logic principles and algorithms design guidelines for fuzzy logic systems enhanced training algorithms maximum likelihood training temporal difference learning NADINE hybrid learning systems explanation and reasoning within connectivist systems extracting fuzzy rules fuzzy logic framework for managing aquatic ecosystems neural nets for seafloor classification stock market prediction face recognition acoustic transient analysis remotely-sensed imagery power systems telecommuncations handprinted character recognition financial analysis non-destructive evaluation of materials segmentation of medical images sonar signal processing radar signal processing automatic speech recognition recurrent neural networks CMAC neural networks real-time image segmentation fuzzy max-min neural network system fuzzy controller integrated neural computing architecture general asymmetric neural networks.