8.1 Competitive dynamics 8.2 Competitive learning 8.3 Kohonen's self-organizing feature maps 8.4 Principal component analysis 8.5 Further remarks 8.6 Summary 8.7 Notes 9 Adaptive resonance theory:ART 9.1 ART's objectives 9.2 A hierarchical description of networks 9.3 ARTI 9.4 The ART family 9.5 Applications 9.6 Further remarks 9.7 Summary 9.8 Notes 10 Nodes,nets and algorithms:further alternatives 10.1 Synapses revisited 10.2 Sigma-pi units 10.3 Digital neural networks 10.4 Radial basis functions 10.5 Learning by exploring the environment 78.1 Competitive dynamics 8.2 Competitive learning 8.3 Kohonen's self-organizing feature maps 8.4 Principal component analysis 8.5 Further remarks 8.6 Summary 8.7 Notes 9 Adaptive resonance theory: ART 9.1 ART's objectives 9.2 A hierarchical description of networks 9.3 ART1 9.4 The ART family 9.5 Applications 9.6 Further remarks 9.7 Summary 9.8 Notes 10 Nodes, nets and algorithms: further alternatives 10.1 Synapses revisited 10.2 Sigma-pi units 10.3 Digital neural networks 10.4 Radial basis functions 10.5 Learning by exploring the environment 7