I Invited Papers -- 1 N-Tuple Neural Networks -- 2 Information Geometry Of Neural Networks -An Overview- -- 3 Q-Learning: A Tutorial and Extensions -- 4 Are There Universal Principles of Brain Computation? -- 5 On-Line Training of Memory-Driven Attractor Networks -- 6 Mathematical Problems Arising From Constructing An Artificial Brain -- II Submitted Papers -- 7 The Successful Use of Probability Data in Connectionist Models -- 8 Weighted Mixture Of Models For On-Line Learning -- 9 Local Modifications to Radial Basis Networks -- 10 A Statistical Analysis of the Modified Nlms Rules -- 11 Finite Size Effects in on-Line Learning of Multi-Layer Neural Networks -- 12 Constant Fan-In Digital Neural Networks are Vlsi-Optimal -- 13 The Application Of Binary Encoded 2nd Differential Spectrometry in Preprocessing of Uv-Vis Absorption Spectral Data -- 14 A Non-Equidistant Elastic Net Algorithm -- 15 Unimodal Loading Problems -- 16 On The Use of Simple Classifiers for the Initialisation of One-Hidden-Layer Neural Nets -- 17 Modelling Conditional Probability Distributions for Periodic Variables -- 18 Integro-Differential Equations in Compartmental Model Neurodynamics -- 19 Nonlinear Models For Neural Networks -- 20 A Neural Network for The Travelling Salesman Problem with a Well Behaved Energy function -- 21 Semiparametric Artificial Neural Networks -- 22 An Event-Space Feedforward Network Using Maximum Entropy Partitioning with Application to Low Level Speech Data -- 23 Approximating the Bayesian Decision Boundary for Channel Equalisation Using Subset Radial Basis Function Network -- 24 Applications of Graph Theory to the Design of Neural Networks for Automated Fingerprint Identification -- 25 Zero Dynamics And Relative Degree Of Dynamic Recurrent Neural Networks -- 26 Irregular Sampling Approach to Neurocontrol: The Band-And Space-Limited Functions Questions -- 27 Unsupervised Learning of Temporal Constancies by Pyramidal-Type Neurons -- 28 Numerical Aspects of Machine Learning in Artificial Neural Networks -- 29 Learning Algorithms for Ram-Based Neural Networks -- 30 Analysis Of Correlation Matrix Memory and Partial Match-Implications for Cognitive Psychology -- 31 Regularization and Realizability in Radial Basis Function Networks -- 32 A Universal Approximator Network for Learning Conditional Probability Densities -- 33 Convergence af a Class of Neural Networks -- 34 Applications of the Compartmental Model Neuron to Time Series Analysis -- 35 Information Theoretic Neural Networks For Contextually Guided Unsupervised Learning -- 36 Convergence in Noisy Training -- 37 Non-Linear Learning Dynamics with a Diffusing Messenger -- 38 A Variational Approach to Associative Memory -- 39 Transformation of Nonlinear Programming Problems Into Separable Ones Using Multilayer Neural Networks -- 40 A Theory of Self-Organising Neural Networks -- 41 Neural Network Supervised Training Based on a Dimension Reducing Method -- 42 A Training Method for Discrete Multilayer Neural Networks -- 43 Local Minimal Realisations of Trained Hopfield Networks -- 44 Data Dependent Hyperparameter Assignment -- 45 Training Radial Basis Function Networks by Using Separable and Orthogonalized Gaussians -- 46 Error Bounds for Density Estimation by Mixtures -- 47 On Smooth Activation Functions -- 48 Generalisation and Regularisation by Gaussian Filter Convolution of Radial Basis Function Networks -- 49 Dynamical System Prediction: A Lie Algebraic Approach for a Novel Neural Architecture -- 50 Stochastic Neurodynamics and the System Size Expansion -- 51 An Upper Bound on the Bayesian Error Bars for Generalized Linear Regression -- 52 Capacity Bounds for Structured Neural Network Architectures -- 53 On-Line Learning In Multilayer Neural Networks -- 54 Spontaneous Dynamics and Associative Learning in an Assymetric Recurrent Random Neural Network -- 55 A Statistical Mechanics Analysis of Genetic Algorithms for Search and Learning -- 56 Volumes of Attraction Basins in Randomly Connected Boolean Networks -- 57 Evidential Rejection Strategy for Neural Network Classifiers -- 58 Dynamics Approximation and Change Point Retrieval from a Neural Network Model -- 59 Query Learning for Maximum Information Gain in a Multi-Layer Neural Network -- 60 Shift, Rotation and Scale Invariant Signatures for Two-Dimensional Contours, in a Neural Network Architecture -- 61 Function Approximation by Three-Layer Artificial Neural Networks -- 62 Neural Network Versus Statistical Clustering Techniques: A Pilot Study in a Phoneme Recognition Task -- 63 Multispectral Image Analysis Using Pulsed Coupled Neural Networks -- 64 Reasoning Neural Networks -- 65 Capacity of the Upstart Algorithm -- 66 Regression with Gaussian Processes -- 67 Stochastic Forward-Perturbation, Error Surface and Progressive Learning in Neural Networks -- 68 Dynamical Stability of a High-Dimensional Self-Organizing Map -- 69 Measurements of Generalisation Based on Information Geometry -- 70 Towards an Algebraic Theory of Neural Networks: Sequential Composition.