Handbook of Intelligent Computing and Optimization for Sustainable Development. Группа авторов

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      1  Cover

      2  Table of Contents

      3  Title Page

      4  Copyright

      5  Dedication

      6  Foreword

      7  Preface

      8  Acknowledgments

      9  Begin Reading

      10  Index

      11  End User License Agreement

      1 Chapter 1Figure 1.1 Flow chart of the study.Figure 1.2 Basic neural network.Figure 1.3 Sigmoid function.Figure 1.4 Tanh function.Figure 1.5 ReLU function.Figure 1.6 Basic Bernoulli’s restricted Boltzmann machine.Figure 1.7 Accuracy plot for one hidden layer–based ANN.Figure 1.8 Accuracy plot for two hidden layer–based ANN.Figure 1.9 Accuracy plot for three hidden layer–based ANN.Figure 1.10 Accuracy plot for four hidden layer–based ANN.Figure 1.11 Accuracy vs. hidden layer.

      2 Chapter 2Figure 2.1 Schematic diagram of biological neuron.Figure 2.2 Propagation of signal through neurons.Figure 2.3 Linear threshold function.Figure 2.4 Schematic diagram of linear threshold gate.Figure 2.5 ANN model with continuous characteristics.Figure 2.6 Graphical representation of logistic sigmoid function.Figure 2.7 Single layer neural network.Figure 2.8 Multilayer neural network.Figure 2.9 Formation of axon. (a) Input and output neuron oligonucleotides and t...Figure 2.10 Formation of output molecule using DNA neural network. (a) Axon mole...Figure 2.11 Structure of perceptron [5].Figure 2.12 Catalytic activity of deoxyribozyme.Figure 2.13 Mechanism to switch on deoxyribozyme logic gate.Figure 2.14 Mechanism of YES gate.Figure 2.15 Mechanism of NOT gate.Figure 2.16 Mechanism of AND gate.Figure 2.17 Structure of ANDANDNOT gate.Figure 2.18 Toehold-mediated DNA branch migration and strand displacement [7].Figure 2.19 Mechanism of two-input AND gate.Figure 2.20 AND reaction.Figure СКАЧАТЬ